Nothing Special   »   [go: up one dir, main page]

Vasuki et al., 2006 - Google Patents

A review of vector quantization techniques

Vasuki et al., 2006

Document ID
9133415659969172849
Author
Vasuki A
Vanathi P
Publication year
Publication venue
IEEE Potentials

External Links

Snippet

The fundamental principles of quantization and the two basic types of quantization techniques-scalar and vector-have been introduced. The concept of VQ, its salient features, design of code book, and advantages/disadvantages has been dealt with in detail. VQ is a …
Continue reading at ieeexplore.ieee.org (other versions)

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
    • H03M7/3082—Vector 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/90—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using coding techniques not provided for in groups H04N19/10-H04N19/85, e.g. fractals
    • H04N19/94—Vector quantisation
    • 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
    • H03M13/37—Decoding methods or techniques, not specific to the particular type of coding provided for in groups H03M13/03 - H03M13/35
    • H03M13/39—Sequence estimation, i.e. using statistical methods for the reconstruction of the original codes
    • H03M13/41—Sequence estimation, i.e. using statistical methods for the reconstruction of the original codes using the Viterbi algorithm or Viterbi processors
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding

Similar Documents

Publication Publication Date Title
Vasuki et al. A review of vector quantization techniques
Choi et al. Universal deep neural network compression
Flynn et al. Encoding of correlated observations
MXPA04011841A (en) Method and system for multi-rate lattice vector quantization of a signal.
KR20080039523A (en) Single Codebook Vector Quantization for Multi-Speed Applications
US6317520B1 (en) Non-reversible differential predictive compression using lossy or lossless tables
Hung et al. Error-resilient pyramid vector quantization for image compression
Shah et al. Design of quantized decoders for polar codes using the information bottleneck method
Chang et al. Fast codebook search algorithms based on tree-structured vector quantization
Aksu et al. Multistage trellis coded quantisation (MS-TCQ) design and performance
Rault et al. Indexing algorithms for Z/sub n/, A/sub n/, D/sub n/, and D/sub n//sup++/lattice vector quantizers
Kossentini et al. Conditional entropy-constrained residual VQ with application to image coding
EP0732854A2 (en) Apparatus and methods for performing Huffman coding
Mansour Efficient Huffman decoding with table lookup
US7193542B2 (en) Digital data compression robust relative to transmission noise
Cao et al. A fast search algorithm for vector quantization using a directed graph
Aksu et al. Design, performance, and complexity analysis of residual trellis-coded vector quantizers
WO2021083488A1 (en) A distribution matcher and distribution matching method
Motta et al. Real-time software compression and classification of hyperspectral images
EP1443725A1 (en) Method and apparatus for encoding and decoding trellis modulated data with hyper-cubic constellations
Krishnamoorthi et al. Codebook generation for vector quantization on orthogonal polynomials based transform coding
Ramaswamy et al. Shared descriptions fusion coding for storage and selective retrieval of correlated sources
Motta et al. Locally optimal partitioned vector quantization of hyperspectral data
Esen et al. Trellis coded quantization for data hiding
Ramaswamy et al. Code design for fast selective retrieval of fusion stored sensor-network/time-series data