• DocumentCode
    417834
  • Title

    Reconstruction of multi-stage vector quantized sources over noisy channels - applications to MELP codec

  • Author

    Lahouti, Farshad ; Khandani, Amir K.

  • Author_Institution
    Dept. of E&CE, Univ. of Waterloo, Ont., Canada
  • Volume
    4
  • fYear
    2004
  • fDate
    17-21 May 2004
  • Abstract
    The design of source decoders that employ the residual redundancy at the source coder output is an interesting research direction in the joint source channel coding framework. Such decoders are expected to replace the traditionally heuristic error concealment units that are elements of most multimedia communication systems. In this work, we consider the reconstruction of signals encoded with a multi-stage vector quantizer (MSVQ) and transmitted over a noisy channel. The MSVQ maintains a moderate complexity and, due to its successive refinement feature, is a suitable choice for the design of layered (progressive) source codes. An approximate MMSE source decoder for MSVQ is presented and its application to reconstruction of LPC parameters in MELP is analyzed. Numerical results demonstrates the effectiveness of the proposed schemes.
  • Keywords
    combined source-channel coding; linear predictive coding; signal reconstruction; speech codecs; vector quantisation; MELP LPC parameters; MELP codec; MMSE source decoder; MSVQ; joint source channel coding; layered source codes; mixed excited linear prediction speech codec; multimedia communication systems; multistage vector quantized sources; noisy channels; progressive source codes; residual redundancy source decoders; signal reconstruction; vector quantized source reconstruction; Channel coding; Character generation; Codecs; Image coding; Image reconstruction; Iterative decoding; Multimedia communication; Multimedia systems; Redundancy; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8484-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2004.1326901
  • Filename
    1326901