Multiple-description multistage vector quantization

Authors:
Pradeepa Yahampath
Affiliations:
Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Manitoba, Canada
Venue:
EURASIP Journal on Audio, Speech, and Music Processing
Year:
2007

Citing 4
Cited 0

Vector quantization and signal compression

Vector quantization and signal compression
MELP: The New Federal Standard at 2400 Bps

ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
Multistage vector quantizer optimization for packet networks

IEEE Transactions on Signal Processing
Image coding using entropy-constrained residual vector quantization

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Multistage vector quantization (MSVQ) is a technique for low complexity implementation of high-dimensional quantizers, which has found applications within speech, audio, and image coding. In this paper, a multiple-description MSVQ (MD-MSVQ) targeted for communication over packet-loss channels is proposed and investigated. An MD-MSVQ can be viewed as a generalization of a previously reported interleaving-based transmission scheme for multistage quantizers. An algorithm for optimizing the codebooks of an MD-MSVQ for a given packet-loss probability is suggested, and a practical example involving quantization of speech line spectral frequency (LSF) vectors is presented to demonstrate the potential advantage of MD-MSVQ over interleaving-based MSVQ as well as traditional MSVQ based on error concealment at the receiver.