Variance mismatch of vector quantizers (Corresp.)
Yoichi Yamada, Saburo Tazaki, M. Kasahara, T. Namekawa · IEEE Transactions on Information Theory · 1984
The asymptotic performance of variance-mismatched vector quantizers is presented. It is demonstrated by both asymptotic analysis and computer simulations that well-designed vector quantizers are inherently more invulnerable to mismatch than are conventional scalar quantizers. A generalized exponential density function is considered as a statistical model of sources. As an example, the asymptotic performance is derived and applied to the memoryless Laplacian source with the squared-error distortion measure.