DocumentCode
3368990
Title
Fast vector quantization search using multipath tree in the structuralized codebook of LSF coefficients
Author
Andrzej, Sawicki ; Alexander, Petrovsky
Author_Institution
Dept. of Real-Time Syst., Bialystok Tech. Univ., Bialystok
fYear
2008
fDate
14-17 Sept. 2008
Firstpage
497
Lastpage
500
Abstract
For mobile communication systems computational complexity and memory requirements are serious problems in real-time digital signal processing of speech signal. In this article we proposed new structuralization algorithm intended to split vector quantizer codebook of LSF coefficients. Fast search procedure, based on structure of codebook and description tree, allows reduce the entire quantity of comparisons over searching the codebook. Our approach allows us to eliminate in search procedure codevectors with minimal probability of belonging to solution and create fast codebook search algorithm with significant decrease of complexity.
Keywords
communication complexity; mobile communication; search problems; speech coding; trees (mathematics); vector quantisation; vectors; LSF coefficients; computational complexity; description tree; fast codebook search algorithm; fast vector quantization search; memory requirements; mobile communication systems; multipath tree; real-time digital signal processing; search procedure codevectors; speech signal; split vector quantizer codebook; structuralized codebook; Computational complexity; Digital signal processing; Frequency; Linear predictive coding; Mobile communication; Real time systems; Signal processing algorithms; Speech coding; Speech processing; Vector quantization; LSF coefficients; fast codevector search; multipath tree; structuralized codebook; vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals and Electronic Systems, 2008. ICSES '08. International Conference on
Conference_Location
Krakow
Print_ISBN
978-83-88309-47-2
Electronic_ISBN
978-83-88309-52-6
Type
conf
DOI
10.1109/ICSES.2008.4673478
Filename
4673478
Link To Document