An adaptive technique for accuracy enhancement of vector quantizers in nonorthogonal domains

    Authors

    V. Krishnan;W. B. Mikhael

    Comments

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    Abbreviated Journal Title

    IEEE Trans. Circuits Syst. I-Fundam. Theor. Appl.

    Keywords

    vector quantizers in nonorthogonal domains; IMAGE REPRESENTATION; SIGNAL REPRESENTATION; MIXED-TRANSFORMS; QUANTIZATION; SPEECH; COMPRESSION; ALGORITHMS; Engineering, Electrical & Electronic

    Abstract

    Recently, novel vector quantization techniques in multiple nonorthogonal domains for both waveform and model-based signal characterization that give an improved qualitative and quantitative signal coding performance as compared to vector quantization in single domain have been reported. In these techniques, vectors are formed either directly from the signal waveform or from the model parameters extracted from the signal. Then, the vectors are represented in multiple nonorthogonal. domains. The encoder chooses the domain that best represents the vector according to a predetermined criterion. An iterative codebook enhancement algorithm, applicable to both waveform and model-based vector quantization in nonorthogonal domains is developed and presented in this paper. In this algorithm, each set of codebooks in a given domain is retrained by the vectors that were best represented by that particular set of codebooks in the most recent iteration. The algorithm is applied successfully and extensive simulation results yield considerable performance enhancement of the vector quantization in nonorthogonal domains, for a given bit rate. Sample results are provided which demonstrate the improved performance.

    Journal Title

    Ieee Transactions on Circuits and Systems I-Fundamental Theory and Applications

    Volume

    50

    Issue/Number

    12

    Publication Date

    1-1-2003

    Document Type

    Article

    Language

    English

    First Page

    1548

    Last Page

    1555

    WOS Identifier

    WOS:000188198500005

    ISSN

    1057-7122

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