Vector quantization algorithms have long been used to find a finite set of exemplars which represent a data set to within an a priori error tolerance. Such a representation is essential in codebook-based data compression and transmission. The present study considers the situation where the data to be encoded consists of subclasses. The codebook must provide information compression within the several subclasses; however, minimization of interclass errors is of equal importance. We present modifications to a basic vector quantization (VQ) algorithm which adapts it to the multiclass vector quantizing setting. We then explore the behavior of the modified algorithm on selected benchmark applications. We show, in particular, that overlapping subclasses can be accommodated by the algorithm.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Vector quantization for multiple classes


    Beteiligte:
    Abou-Ali, A.-L.H. (Autor:in) / Porter, W.A. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.01.1997


    Format / Umfang :

    707583 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Vector Quantization for Multiple Classes

    Porter, W. A. / Abou-Ali, A.-L. H. / IEEE; Aerospace and Electronics Systems Society | British Library Conference Proceedings | 1997


    Predictive residual vector quantization

    Rizvi, S.A. / Nasrabadi, N.M. | IEEE | 1994


    Predictive Residual Vector Quantization

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


    Adaptive Vector-Quantization Scheme

    Cheung, Kar-Ming | NTRS | 1992


    Improved Locally Adaptive Vector Quantization

    Cheung, Kar-Ming / Sayano, Masahiro | NTRS | 1994