Torres et al., 2020 - Google Patents
High-throughput variable-to-fixed entropy codec using selective, stochastic code forestsTorres et al., 2020
View PDF- Document ID
- 11204611475565941455
- Author
- Torres M
- Hernandez-Cabronero M
- Blanes I
- Serra-Sagrista J
- Publication year
- Publication venue
- IEEE access
External Links
Snippet
Efficient high-throughput (HT) compression algorithms are paramount to meet the stringent constraints of present and upcoming data storage, processing, and transmission systems. In particular, latency, bandwidth and energy requirements are critical for those systems. Most …
- 238000007906 compression 0 abstract description 83
Classifications
-
- H—ELECTRICITY
- H03—BASIC ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same information or similar information or a subset of information is represented by a different sequence or number of digits
- H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
- H03M7/40—Conversion to or from variable length codes, e.g. Shannon-Fano code, Huffman code, Morse code
- H03M7/4031—Fixed length to variable length coding
- H03M7/4037—Prefix coding
-
- H—ELECTRICITY
- H03—BASIC ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same information or similar information or a subset of information is represented by a different sequence or number of digits
- H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
- H03M7/40—Conversion to or from variable length codes, e.g. Shannon-Fano code, Huffman code, Morse code
- H03M7/42—Conversion to or from variable length codes, e.g. Shannon-Fano code, Huffman code, Morse code using table look-up for the coding or decoding process, e.g. using read-only memory
-
- H—ELECTRICITY
- H03—BASIC ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same information or similar information or a subset of information is represented by a different sequence or number of digits
- H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
- H03M7/40—Conversion to or from variable length codes, e.g. Shannon-Fano code, Huffman code, Morse code
- H03M7/4006—Conversion to or from arithmetic code
-
- H—ELECTRICITY
- H03—BASIC ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same information or similar information or a subset of information is represented by a different sequence or number of digits
- H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
- H03M7/3084—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction using adaptive string matching, e.g. the Lempel-Ziv method
- H03M7/3088—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction using adaptive string matching, e.g. the Lempel-Ziv method employing the use of a dictionary, e.g. LZ78
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30067—File systems; File servers
- G06F17/30129—Details of further file system functionalities
- G06F17/3015—Redundancy elimination performed by the file system
- G06F17/30153—Redundancy elimination performed by the file system using compression, e.g. sparse files
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
- G06F17/30946—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type indexing structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- H—ELECTRICITY
- H03—BASIC ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M13/00—Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes
- H03M13/03—Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words
- H03M13/05—Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words using block codes, i.e. a predetermined number of check bits joined to a predetermined number of information bits
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/21—Text processing
- G06F17/22—Manipulating or registering by use of codes, e.g. in sequence of text characters
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Goyal et al. | Deepzip: Lossless data compression using recurrent neural networks | |
Gupta et al. | Modern lossless compression techniques: Review, comparison and analysis | |
US8159374B2 (en) | Unicode-compatible dictionary compression | |
US11722148B2 (en) | Systems and methods of data compression | |
EP2830225A1 (en) | Program, compressed data generation method, decompression method, information processing device, and recording medium | |
Ezhilarasu et al. | Arithmetic Coding for Lossless Data Compression–A Review | |
Steinruecken | Lossless data compression | |
Yeh et al. | On the optimality of code options for a universal noiseless coder | |
Drmota et al. | Redundancy of lossless data compression for known sources by analytic methods | |
Torres et al. | High-throughput variable-to-fixed entropy codec using selective, stochastic code forests | |
Hassan et al. | Arithmetic N-gram: an efficient data compression technique | |
Sailunaz et al. | Data compression considering text files | |
Haque et al. | Study on data compression technique | |
Wang et al. | A simplified variant of tabled asymmetric numeral systems with a smaller look-up table | |
Hasan et al. | Comparative data compression techniques and multi-compression results | |
Al-Bahadili et al. | A bit-level text compression scheme based on the ACW algorithm | |
JP2014220713A (en) | Coding apparatus, decoding apparatus, method, and program | |
Kieffer et al. | Survey of grammar-based data structure compression | |
Bharathi et al. | A plain-text incremental compression (pic) technique with fast lookup ability | |
Tuama et al. | A new compression algorithm for small data communication in wireless sensor network | |
Tu et al. | Variable-to-Variable Huffman Coding: Optimal and Greedy Approaches | |
Asolkar et al. | Review of data compression and different techniques of data compression | |
Prasetyo et al. | Comparison of Text Data Compression Using Run Length Encoding, Arithmetic Encoding, Punctured Elias Code and Goldbach Code | |
Sharma et al. | Evaluation of lossless algorithms for data compression | |
Omer et al. | Arabic short text compression |