DocumentCode
3069078
Title
High dimension adaptive vector quantization
Author
Wang, Tzung-Kwang ; Foster, John
Author_Institution
Dept. of Electr. Eng., North Carolina A&T State Univ., Greensboro, NC, USA
fYear
1992
fDate
12-15 Apr 1992
Firstpage
468
Abstract
Adaptive vector quantization (AVQ) is presented as a waveform coding system with applications to digital voice transmission. The AVQ coding algorithms were modeled and simulated on a computer. Simulation results of higher dimensions are presented. A 20 min digitized speech was used as the source. Both quantitative and subjective tests were performed to compare the reconstructed speech with the original waveform. The transmission rate chosen was 16 kb/s. The results showed high signal-to-noise-ratio (SNR) performance with relatively low coding complexity
Keywords
speech coding; vector quantisation; 20 mins; AVQ coding algorithms; adaptive vector quantization; digital voice transmission; low coding complexity; quantitative tests; reconstructed speech; signal-to-noise-ratio; speech coding; subjective tests; transmission rate; waveform coding; Algorithm design and analysis; Bit rate; Code standards; Computational modeling; Computer simulation; Shape; Signal design; Speech; Testing; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Southeastcon '92, Proceedings., IEEE
Conference_Location
Birmingham, AL
Print_ISBN
0-7803-0494-2
Type
conf
DOI
10.1109/SECON.1992.202394
Filename
202394
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