Paper Info
Title
Index assignment for transmitting vector quantized LSF parameters over binary Markov channels
Abstract
This paper introduces a new index assignment (IA) technique for transmitting vector quantized line spectrum frequencies (LSF) over channels with memory. The original performance criterion, the channel distortion DC, is replaced with one approximation, the generalized linearity index, having the advantage of being faster to evaluate. We then present a suboptimal algorithm for maximizing the generalized linearity index, and illustrate its performance in vector quantization of a Gaussian source over a Markov channel (the specific Markov model being known as “contagion urn model”). We also apply the algorithm to the transmission of LSF parameters quantized as in G.729 standard. The results encourage the use of the generalized linearity index for assigning the indices for quantized LSF parameters transmission over channels with memory, showing consistency of high generalized linearity index with low spectral distortion of LSF parameters
Year
DOI
Venue
1999
10.1109/ISCAS.1999.780062
Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium
Keywords
Field
DocType
Gaussian channels,Markov processes,image coding,image matching,vector quantisation,G.729 standard,Gaussian source,binary Markov channels,contagion urn model,generalized linearity index,index assignment,line spectrum frequencies,spectral distortion,suboptimal algorithm,vector quantized LSF parameters
Markov process,Control theory,Markov model,Linearity,Algorithm,Speech recognition,Vector quantization,Gaussian,Quantization (physics),Distortion,Mathematics,Binary number
Conference
Volume
ISBN
Citations 
4
0-7803-5471-0
2
PageRank 
References 
Authors
0.39
6
2
Name
Order
Citations
PageRank
Razvan Iordache1346.23
Tabus, Ioan2354.68