Title :
Analysis of Conditional PDF-Based Split VQ
Author :
Chatterjee, Saikat ; Sreenivas, T.V.
Author_Institution :
Indian Inst. of Sci., Bangalore
Abstract :
The split vector quantization (SVQ) method results in a ldquocoding lossrdquo due to the independent quantization of split subvectors. To recover the coding loss, conditional pdf-based split vector quantization methods were proposed recently. For a multivariate Gaussian source, we theoretically derive the expression of rate-distortion (R/D) performance for conditional pdf-based split vector quantization (CSVQ) method, using high rate quantization theory and optimum bit allocation. We also derive the rate-distortion performance expression of traditional SVQ method and, thus, quantify the coding gain of CSVQ method over SVQ method.
Keywords :
Gaussian processes; rate distortion theory; vector quantisation; coding loss; multivariate Gaussian source; optimum bit allocation; rate-distortion performance; split subvectors; split vector quantization; Bit rate; Costs; Decoding; Loss measurement; Performance gain; Product codes; Rate-distortion; Source coding; Speech coding; Vector quantization; Conditional pdf; high rate quantization; multivariate Gaussian; split vector quantization;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2007.901685