Title :
Channel optimized matrix quantization (COMQ) of LSP parameters over waveform channels
Author :
Pérez-Córdoba, José L. ; Rubio, Antonio ; López-Soler, Juan M. ; Sánchez, Victoria E.
Author_Institution :
Dept. de Electron. y Tecnologia de Computadores, Granada Univ., Spain
Abstract :
Combined source and channel coding is a technique to mitigate channel errors without increasing the bit error rate. Channel optimized vector quantizer (COVQ) performs these objectives in the context of vector quantization. This paper presents a study of channel optimized matrix quantizer (COMQ) applied to quantize the line spectral pair (LSP) parameters as an extension of COVQ technique. Gaussian and slow-fading Rayleigh channels are considered and GMSK (Gaussian minimum shift-keying) is used as modulation technique. Several channel signal to noise ratio (CSNR) are considered to measure the performance of this system. In addition, for comparison purposes, the performance of other schemes for quantizing the LSP parameters are computed
Keywords :
Gaussian channels; Rayleigh channels; combined source-channel coding; matrix algebra; minimum shift keying; noise; optimisation; parameter estimation; spectral analysis; speech coding; vector quantisation; BER; COVQ; CSNR; GMSK; Gaussian channels; Gaussian minimum shift-keying; LSP parameters; bit error rate; channel errors; channel optimized matrix quantization; channel optimized vector quantizer; channel signal to noise ratio; combined source channel coding; line spectral pair parameters; slow-fading Rayleigh channels; speech coding; system performance; vector quantization; waveform channels; AWGN; Bit error rate; Channel coding; Code standards; Constellation diagram; GSM; Protection; Rayleigh channels; Speech; Vector quantization;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.941017