CN107995490A - Signal acquiring method and device - Google Patents
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Abstract
This disclosure relates to signal acquiring method and device.This method includes：Migration processing is carried out to original signal according to shifted signal, obtains migration processing signal；By in migration processing signal input quantity device, quantized signal is obtained；For the first object in quantized signal, the quantized value of the object in the neighborhood of the first object, it is candidate's value range that the first object provides to determine the object in the neighborhood；According to the intersection of each candidate's value range, the value range of the first object is determined；According to the value range of the first object, the reconstructed value of the first object is determined.In the disclosure, since the value range of the first object determined according to the intersection of each candidate's value range is less than quantization step, therefore the bit accuracy for the first object rebuild according to the value range is higher than the bit accuracy of the first object in original signal, so as to which on the premise of not upgrading to signal acquisition hardware, the reconstruction signal of higher bit precision is obtained according to the original signal of low bit precision.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a signal acquisition method and apparatus.
Background
At present, although the image has high spatial resolution, the bit precision of most image pixels is only 8 bits. With the development of high dynamic range image technology and the popularity of high bit-precision displays, the demand for high bit-precision images is increasingly prominent. Therefore, the acquisition of high-bit-precision image signals is becoming an important research topic in the field of image processing.
In the related art, to obtain an image signal with high bit precision, hardware (especially, electronic components such as a quantizer) needs to be upgraded, which is difficult in technology and high in cost. In application scenarios of low power consumption and low computational complexity signal acquisition, such as wearable devices, the cost of directly processing and transmitting signals with high bit precision is often unacceptable.
Disclosure of Invention
In view of this, the present disclosure provides a signal acquisition method and apparatus.
According to an aspect of the present disclosure, there is provided a signal acquisition method including:
carrying out offset processing on the original signal according to the offset signal to obtain an offset processing signal;
inputting the offset processing signal into a quantizer to obtain a quantized signal;
for a first object in the quantized signal, determining a candidate value range provided by the object in the neighborhood for the first object according to the quantized value of the object in the neighborhood of the first object, wherein the first object is any one object in the quantized signal;
determining the value range of the first object according to the intersection of the candidate value ranges;
and determining a reconstruction value of the first object according to the value range of the first object.
In a possible implementation manner, determining, according to a quantized value of an object in a neighborhood of the first object, a candidate value range provided by the object in the neighborhood for the first object includes:
and determining a candidate value range provided by each effective object in the neighborhood for the first object according to the quantized value of the effective object in the neighborhood of the first object.
In one possible implementation, the method further includes:
and determining an object in the neighborhood, which has a difference value with the quantization value of the first object within a specified interval, as a valid object in the neighborhood.
In a possible implementation manner, determining a reconstruction value of the first object according to the value range of the first object includes:
and determining the middle point of the value range of the first object as the reconstruction value of the first object.
In one possible implementation, before performing the offset processing on the original signal according to the offset signal, the method further includes:
and determining the offset signal according to the quantization step size of the quantizer and the local correlation parameter.
According to another aspect of the present disclosure, there is provided a signal acquisition apparatus including:
the offset processing module is used for carrying out offset processing on the original signal according to the offset signal to obtain an offset processing signal;
the quantization module is used for inputting the offset processing signal into a quantizer to obtain a quantized signal;
a first determining module, configured to determine, for a first object in the quantized signal, a candidate value range provided by an object in a neighborhood of the first object for the first object according to a quantized value of the object in the neighborhood, where the first object is any one object in the quantized signal;
a second determining module, configured to determine a value range of the first object according to an intersection of the candidate value ranges;
and the third determining module is used for determining a reconstruction value of the first object according to the value range of the first object.
In one possible implementation manner, the first determining module is configured to:
and determining a candidate value range provided by each effective object in the neighborhood for the first object according to the quantized value of the effective object in the neighborhood of the first object.
In one possible implementation, the apparatus further includes:
and the fourth determination module is used for determining an object in the neighborhood, which is within a specified interval of the difference value of the quantization value of the first object and the quantization value of the first object, as the effective object in the neighborhood.
In one possible implementation manner, the third determining module is configured to:
and determining the middle point of the value range of the first object as the reconstruction value of the first object.
In one possible implementation, the apparatus further includes:
a fifth determining module, configured to determine the offset signal according to a quantization step of the quantizer and a local correlation parameter.
According to another aspect of the present disclosure, there is provided a signal acquisition apparatus including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to perform the above method.
According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the above-described method.
In the signal acquisition method and apparatus in each aspect of the present disclosure, since the value range of the first object determined according to the intersection of the candidate value ranges is smaller than the quantization step, the bit precision of the first object reconstructed according to the value range is higher than the bit precision of the first object in the original signal, so that the reconstructed signal with high bit precision can be acquired according to the original signal with low bit precision without upgrading the signal acquisition hardware.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.
Fig. 1 shows a flow diagram of a signal acquisition method according to an embodiment of the present disclosure.
Fig. 2 shows a schematic diagram of an encoding end and a decoding end in a signal acquisition method according to an embodiment of the present disclosure.
Fig. 3 illustrates an exemplary flow chart of a signal acquisition method according to an embodiment of the present disclosure.
Fig. 4 illustrates a schematic diagram of a design pattern of an offset signal in a signal acquisition method according to an embodiment of the present disclosure.
Fig. 5 shows a block diagram of a signal acquisition device according to an embodiment of the present disclosure.
Fig. 6 illustrates an exemplary block diagram of a signal acquisition device according to an embodiment of the present disclosure.
Fig. 7 is a block diagram illustrating an apparatus 800 for signal acquisition in accordance with an example embodiment.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
Fig. 1 shows a flow diagram of a signal acquisition method according to an embodiment of the present disclosure. The method can be applied to terminal equipment. The method may be used for acquiring any signal having markov properties, for example, it may be used for acquiring image signals, voice signals, video signals, brain wave signals, or the like. As shown in fig. 1, the method includes steps S11 through S15.
In step S11, the original signal is subjected to offset processing based on the offset signal, and an offset processed signal is obtained.
In one possible implementation, the offset signal may be designed following the principle of minimizing mean square error.
In a possible implementation manner, performing offset processing on an original signal according to an offset signal to obtain an offset processed signal may include: and adding the original signal S and the offset signal D to obtain an offset processing signal S + D.
It should be noted that, although the specific implementation of performing the offset processing on the original signal according to the offset signal is described above by taking the original signal and the offset signal as an example, it can be understood by those skilled in the art that the disclosure should not be limited thereto. The specific implementation manner of performing the offset processing on the original signal according to the offset signal can be flexibly set by those skilled in the art according to the actual application scenario and/or personal preference. For example, in other possible implementations, the original signal and the offset signal may also be subtracted to obtain an offset-processed signal.
In step S12, the offset-processed signal is input to the quantizer, and a quantized signal is obtained.
In the present embodiment, the offset-processed signal is input to the quantizer, which is equivalent to quantizing the signal with an offset quantizer.
In this embodiment, the quantization step size of the quantizer is Q, and the quantized signal can be represented as Q
In step S13, for a first object in the quantized signal, a candidate value range provided by an object in a neighborhood of the first object for the first object is determined according to the quantized value of the object in the neighborhood, where the first object is any one object in the quantized signal.
In one possible implementation, the objects in the neighborhood of the first object include the first object.
In this embodiment, it can be assumed that the original signal S is flat in local area except for transitions such as edges. Therefore, the quantized value obtained by the quantizer of the objects in the neighborhood of the first object can be regarded as providing an interval range information for the first object.
Taking the original signal S as an image signal as an example, it can be assumed that the image signal is flat in signal intensity in a local area except for a transition such as an object edge. Therefore, an image area of (2K +1) × (2K +1) size centered on the pixel (i, j) (i.e., the first object) may be determined as a neighborhood of the pixel (i, j), and a quantized value obtained after a certain pixel (p, q) in the neighborhood (i.e., an object in the neighborhood) passes through the quantizerIt can be seen that an interval range information is provided for the intermediate pixel (i, j), i.e. the pixel (p, q) may provide a candidate value range for the pixel (i, j), which may beWhere S (p, q) denotes an original value of the pixel (p, q), and D (p, q) denotes an offset value of the pixel (p, q). Wherein the original value of the pixel (p, q) represents the value of the pixel (p, q) in the original signal S, the offset value of the pixel (p, q) represents the value of the pixel (p, q) in the offset signal D, and the quantized value of the pixel (p, q) represents the quantized signalThe value of the middle pixel (p, q).
In a possible implementation manner, determining, according to a quantized value of an object in a neighborhood of a first object, a candidate value range provided by the object in the neighborhood for the first object may include: and determining a candidate value range provided by each effective object in the neighborhood for the first object according to the quantized value of the effective object in the neighborhood of the first object.
As an example of this implementation, the method may further include: and determining the object in the neighborhood, which is within a specified interval of the difference value of the quantized value of the first object, as the valid object in the neighborhood. In this example, if the difference between the quantized value of an object in the neighborhood of the first object and the quantized value of the first object is within a specified interval, it may indicate that the object is less different from the first object; if the difference between the quantized value of an object in the neighborhood of the first object and the quantized value of the first object is not within the specified interval, it can be indicated that the object is significantly different from the first object. By determining the object in the neighborhood of the first object, which is within the specified interval from the difference value of the quantization value of the first object, as the valid object in the neighborhood, the adjacent pixels in the neighborhood, which have a significant difference from the first object, can be excluded, so that the accuracy of signal reconstruction can be improved.
In step S14, the value range of the first object is determined according to the intersection of the candidate value ranges.
According to the characteristic that the line segments adopt intersection, the intersection of a plurality of candidate value ranges is certainly smaller than or equal to the quantization step length Q, namely, the length of the value range of the first object is certainly smaller than or equal to the quantization step length Q. In most cases, the intersection of the plurality of candidate value ranges is smaller than the quantization step Q, i.e. the length of the value range of the first object is smaller than the quantization step Q. Therefore, the bit accuracy of the first object reconstructed from the value range of the first object is higher than the bit accuracy of the original signal.
In a possible implementation manner, an intersection of candidate value ranges provided by the valid objects in the neighborhood for the first object may be used as the value range of the first object.
In step S15, a reconstructed value of the first object is determined according to the value range of the first object.
Wherein the reconstructed value of the first object represents the reconstructed signal S*The value of the first object. Taking the original signal S as an image signal as an example, the reconstructed value S of the pixel (i, j)*(i, j) represents the reconstructed signal S*The value of middle pixel (i, j).
In a possible implementation manner, determining a reconstruction value of the first object according to the value range of the first object may include: and determining the middle point of the value range of the first object as the reconstruction value of the first object.
Taking the original signal S as the image signal, if the upper bound of the value range of the pixel (i, j) is ub *Lower boundary is lb *Then a reconstructed value of the first object may be determined
In one possible implementation, at the first objectCan be determined to be unreasonable under the condition that the upper bound of the value range of (a) is smaller than the lower bound. In this case, the reconstruction value of the first object may be determined according to the quantized value of the first object and the offset value of the first object. Taking the original signal S as the image signal, the upper bound of the value range of the pixel (i, j) is smaller than the lower bound (i.e. u)b *＜lb *) In the case of (i, j), a reconstructed value of the pixel (i, j) may be determinedWherein,denotes a quantized value of the pixel (i, j), and D (i, j) denotes an offset value of the pixel (i, j).
In one possible implementation, steps S11 and S12 may be performed by the encoding side, and steps S13 to S15 may be performed by the decoding side. Fig. 2 shows a schematic diagram of an encoding end and a decoding end in a signal acquisition method according to an embodiment of the present disclosure. As shown in fig. 2, at the encoding end, the original signal S and the offset signal D may be added and then input to the quantizer to obtain a quantized signalAt the decoding end, based on the quantized signalAnd an offset signal D, a reconstructed signal S can be reconstructed*. In the implementation mode, the addition and subtraction operations at the encoding end and the decoding end are hardware-friendly, and the method has high practical value. The reconstruction method at the decoding end may be based on the markov property of the signal or may be based on the markov random field, etc., and is not limited herein.
In the present embodiment, the reconstructed values of all the objects in the quantized signal may be determined according to steps S13 to S15, thereby determining a reconstructed signal. Taking the original signal S as an image signal as an example, the reconstructed values of all pixels in the quantized signal may be determined according to steps S13 to S15, thereby determining a reconstructed signal.
In this embodiment, since the value range of the first object determined according to the intersection of the candidate value ranges is smaller than the quantization step, the bit precision of the first object reconstructed according to the value range is higher than the bit precision of the first object in the original signal, so that the reconstructed signal with high bit precision can be obtained according to the original signal with low bit precision without upgrading the signal obtaining hardware.
Fig. 3 illustrates an exemplary flow chart of a signal acquisition method according to an embodiment of the present disclosure. As shown in fig. 3, the method may include steps S10 through S15.
In step S10, an offset signal is determined according to the quantization step size of the quantizer and the local correlation parameter.
In one possible implementation, equation 1 may be used to determine D in the offset signal Dk，
Wherein K is more than or equal to 1 and less than or equal to (2K +1)2K denotes a local correlation parameter and Q denotes a quantization step size of the quantizer.
Fig. 4 illustrates a schematic diagram of a design pattern of an offset signal in a signal acquisition method according to an embodiment of the present disclosure. For example, when K is 1, 1. ltoreq. k.ltoreq.9, d1＝0，
In step S11, the original signal is subjected to offset processing based on the offset signal, and an offset processed signal is obtained.
In step S12, the offset-processed signal is input to the quantizer, and a quantized signal is obtained.
In step S13, for a first object in the quantized signal, a candidate value range provided by an object in a neighborhood of the first object for the first object is determined according to the quantized value of the object in the neighborhood, where the first object is any one object in the quantized signal.
In step S14, the value range of the first object is determined according to the intersection of the candidate value ranges.
In step S15, a reconstructed value of the first object is determined according to the value range of the first object.
Fig. 5 shows a block diagram of a signal acquisition device according to an embodiment of the present disclosure. As shown in fig. 5, the apparatus includes: the offset processing module 51 is configured to perform offset processing on the original signal according to the offset signal to obtain an offset processed signal; a quantization module 52, configured to input the offset processed signal into a quantizer to obtain a quantized signal; a first determining module 53, configured to determine, for a first object in the quantized signal, a candidate value range provided by an object in a neighborhood of the first object for the first object according to a quantized value of the object in the neighborhood, where the first object is any one object in the quantized signal; a second determining module 54, configured to determine a value range of the first object according to an intersection of the candidate value ranges; a third determining module 55, configured to determine a reconstruction value of the first object according to the value range of the first object.
In a possible implementation manner, the first determining module 53 is configured to: and determining a candidate value range provided by each effective object in the neighborhood for the first object according to the quantized value of the effective object in the neighborhood of the first object.
Fig. 6 illustrates an exemplary block diagram of a signal acquisition device according to an embodiment of the present disclosure. As shown in fig. 6:
in one possible implementation, the apparatus further includes: a fourth determining module 56, configured to determine, as a valid object in the neighborhood, an object in the neighborhood whose difference value from the quantization value of the first object is within a specified interval.
In a possible implementation manner, the third determining module 55 is configured to: and determining the middle point of the value range of the first object as the reconstruction value of the first object.
In one possible implementation, the apparatus further includes: a fifth determining module 57, configured to determine the offset signal according to the quantization step of the quantizer and the local correlation parameter.
In this embodiment, since the value range of the first object determined according to the intersection of the candidate value ranges is smaller than the quantization step, the bit precision of the first object reconstructed according to the value range is higher than the bit precision of the first object in the original signal, so that the reconstructed signal with high bit precision can be obtained according to the original signal with low bit precision without upgrading the signal obtaining hardware.
Fig. 7 is a block diagram illustrating an apparatus 800 for signal acquisition in accordance with an example embodiment. For example, the apparatus 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.
Referring to fig. 7, the apparatus 800 may include one or more of the following components: processing component 802, memory 804, power component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and communication component 816.
The processing component 802 generally controls overall operation of the device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interaction between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.
The memory 804 is configured to store various types of data to support operations at the apparatus 800. Examples of such data include instructions for any application or method operating on device 800, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 804 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
Power components 806 provide power to the various components of device 800. The power components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the apparatus 800.
The multimedia component 808 includes a screen that provides an output interface between the device 800 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 800 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the apparatus 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.
The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 814 includes one or more sensors for providing various aspects of state assessment for the device 800. For example, the sensor assembly 814 may detect the open/closed status of the device 800, the relative positioning of components, such as a display and keypad of the device 800, the sensor assembly 814 may also detect a change in the position of the device 800 or a component of the device 800, the presence or absence of user contact with the device 800, the orientation or acceleration/deceleration of the device 800, and a change in the temperature of the device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 816 is configured to facilitate communications between the apparatus 800 and other devices in a wired or wireless manner. The device 800 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer-readable storage medium, such as the memory 804, is also provided that includes computer program instructions executable by the processor 820 of the device 800 to perform the above-described methods.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (12)
1. A method of signal acquisition, comprising:
carrying out offset processing on the original signal according to the offset signal to obtain an offset processing signal;
inputting the offset processing signal into a quantizer to obtain a quantized signal;
for a first object in the quantized signal, determining a candidate value range provided by the object in the neighborhood for the first object according to the quantized value of the object in the neighborhood of the first object, wherein the first object is any one object in the quantized signal;
determining the value range of the first object according to the intersection of the candidate value ranges;
and determining a reconstruction value of the first object according to the value range of the first object.
2. The method of claim 1, wherein determining the candidate value range provided by the object in the neighborhood for the first object according to the quantized values of the objects in the neighborhood of the first object comprises:
and determining a candidate value range provided by each effective object in the neighborhood for the first object according to the quantized value of the effective object in the neighborhood of the first object.
3. The method of claim 2, further comprising:
and determining an object in the neighborhood, which has a difference value with the quantization value of the first object within a specified interval, as a valid object in the neighborhood.
4. The method of claim 1, wherein determining the reconstructed value of the first object according to the range of values of the first object comprises:
and determining the middle point of the value range of the first object as the reconstruction value of the first object.
5. The method of claim 1, wherein prior to performing the offset processing on the original signal based on the offset signal, the method further comprises:
and determining the offset signal according to the quantization step size of the quantizer and the local correlation parameter.
6. A signal acquisition apparatus, comprising:
the offset processing module is used for carrying out offset processing on the original signal according to the offset signal to obtain an offset processing signal;
the quantization module is used for inputting the offset processing signal into a quantizer to obtain a quantized signal;
a first determining module, configured to determine, for a first object in the quantized signal, a candidate value range provided by an object in a neighborhood of the first object for the first object according to a quantized value of the object in the neighborhood, where the first object is any one object in the quantized signal;
a second determining module, configured to determine a value range of the first object according to an intersection of the candidate value ranges;
and the third determining module is used for determining a reconstruction value of the first object according to the value range of the first object.
7. The apparatus of claim 6, wherein the first determining module is configured to:
and determining a candidate value range provided by each effective object in the neighborhood for the first object according to the quantized value of the effective object in the neighborhood of the first object.
8. The apparatus of claim 7, further comprising:
and the fourth determination module is used for determining an object in the neighborhood, which is within a specified interval of the difference value of the quantization value of the first object and the quantization value of the first object, as the effective object in the neighborhood.
9. The apparatus of claim 6, wherein the third determining module is configured to:
and determining the middle point of the value range of the first object as the reconstruction value of the first object.
10. The apparatus of claim 6, further comprising:
a fifth determining module, configured to determine the offset signal according to a quantization step of the quantizer and a local correlation parameter.
11. A signal acquisition apparatus, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the method of any one of claims 1 to 5.
12. A non-transitory computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the method of any of claims 1 to 5.
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