Chan et al., 2018 - Google Patents
Estimation of frequency of a sinusoid from compressive sensing measurementsChan et al., 2018
- Document ID
- 18387832227413261325
- Author
- Chan Y
- Chan F
- Rajan S
- Publication year
- Publication venue
- 2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE)
External Links
Snippet
This paper addresses the estimation of the frequency of a sinusoid from compressively sensed measurements. Normally in parameter estimation, measurements are assumed to contain the signal and additive white Gaussian noise (AWGN). Under the paradigm of …
- 238000005259 measurement 0 title abstract description 35
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; Arrangements for supplying electrical power along data transmission lines
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/001—Modulated-carrier systems using chaotic signals
-
- H—ELECTRICITY
- H03—BASIC ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M1/00—Analogue/digital conversion; Digital/analogue conversion
- H03M1/12—Analogue/digital converters
-
- H—ELECTRICITY
- H03—BASIC ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M1/00—Analogue/digital conversion; Digital/analogue conversion
- H03M1/10—Calibration or testing
- H03M1/1009—Calibration
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Li et al. | Convolutional compressed sensing using deterministic sequences | |
| Salahdine et al. | A survey on compressive sensing techniques for cognitive radio networks | |
| Slavinsky et al. | The compressive multiplexer for multi-channel compressive sensing | |
| Austin et al. | On the relation between sparse reconstruction and parameter estimation with model order selection | |
| JPH06502519A (en) | Optimal demodulator with maximum a posteriori probability estimation | |
| Andráš et al. | A time domain reconstruction method of randomly sampled frequency sparse signal | |
| Michaels | A maximal entropy digital chaotic circuit | |
| Chan et al. | Estimation of frequency of a sinusoid from compressive sensing measurements | |
| Li et al. | State of the art and prospects of structured sensing matrices in compressed sensing | |
| Vidya et al. | RBF-network based sparse signal recovery algorithm for compressed sensing reconstruction | |
| TW443037B (en) | Parallel analogue-digital converter and method of offset compensating the same | |
| Park et al. | High‐resolution time delay estimation via sparse parameter estimation methods | |
| Xi et al. | Super-resolution pulse-Doppler radar sensing via one-bit sampling | |
| Wu et al. | Compressive sensing‐based signal compression and recovery in UWB wireless communication system | |
| Zhao et al. | A multichannel compressed sampling method for fractional bandlimited signals | |
| CN112242844A (en) | Signal processing method and system thereof | |
| Cao et al. | Efficient sensing for compressive estimation of frequency of a real sinusoid | |
| Kozlov et al. | Cfar detector for compressed sensing radar based on l 1-norm minimisation | |
| Sugavanam et al. | Recovery guarantees for multifrequency chirp waveforms in compressed radar sensing | |
| Mulleti et al. | Power-Aware Analog to Digital Converters | |
| Liu et al. | Wideband Sparse Signal Acquisition Based on Serial Multi‐Coset Sampling | |
| Tedesso | Use of symmetrical number systems in electronic warfare | |
| Maleh et al. | RIP analysis of modulated sampling schemes for recovering spectrally sparse signals | |
| Chen et al. | Chaotic analogue‐to‐information conversion with chaotic state modulation | |
| Shengyao et al. | Cramer-Rao bounds for the joint delay-Doppler estimation of compressive sampling pulse-Doppler radar |