Residual vector quantizers have been proposed to overcome the search complexity of regular single stage vector quantizers. We present a design algorithm for residual vector quantizer codebooks. An attempt is made to make full use of the sequential search nature of the encoding process. An error energy is formulated based on the distortion criterion with a constraint imposed to optimize for the sequential search. The codebook design is formulated as multidimensional minimization problem, where the error energy is minimized to obtain the required codebooks. The proposed algorithm is based on the gradient descent algorithm.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Constrained gradient descent algorithm for residual vector quantizer design


    Contributors:


    Publication date :

    1994-01-01


    Size :

    373196 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Constrained Gradient Descent Algorithm for Residual Vector Quantizer Design

    Venkatraman, M. / Nasrabadi, N. M. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    Globally Optimal Vector Quantizer Design Using Stochastically Competitive Learning Algorithm

    Bi, H. / Bi, G. / Mao, Y. et al. | British Library Conference Proceedings | 1994