Energy-based split vector quantizer employing signal representation in multiple transform domains

    Authors

    W. B. Mikhael;V. Krishnan

    Abbreviated Journal Title

    Digit. Signal Prog.

    Keywords

    IMAGES; Engineering, Electrical & Electronic

    Abstract

    Vector quantization schemes are widely used for waveform coding of one- and multidimensional signals. In this contribution, a novel energy-based, split vector quantization technique is presented, which represents digital signals efficiently as measured by the number of bits per sample for a predetermined signal reconstruction quality. In this approach, each signal vector is projected into multiple transform domains. In the learning mode, for a given transform domain representation, the transformed vector is split into subvectors (subbands) of equal average energy estimated from the transformed training vector ensemble. An equal number of bits is assigned to each subvector. A codebook is then designed for each equal energy subband of each transform domain representation. In the running mode, the coder selects codes from the domain that best represents the signal vector. The proposed multiple transform, split vector quantizer is developed and its performance is evaluated for both single-stage and multistage implementations. Several single transform vector quantizers for waveform coding exist, some of which employ energy-based bit allocation. Sample results using one-dimensional speech signals confirm the superior performance of the proposed scheme over existing single transform vector quantizers for waveform coding. (C) 2001 Academic Press.

    Journal Title

    Digital Signal Processing

    Volume

    11

    Issue/Number

    4

    Publication Date

    1-1-2001

    Document Type

    Article

    Language

    English

    First Page

    359

    Last Page

    370

    WOS Identifier

    WOS:000171755500006

    ISSN

    1051-2004

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