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
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