Abstract
An analysis of the rate-distortion performance of an entropy-constrained block transform quantization scheme operating on first-order stationary Gauss-Markov sources is presented. Uniform threshold quantization is employed to quantize the transform coefficients. An algorithm for optimum stepsize (or, equivalently, entropy) assignment among the quantizers is developed and a simple asymptotic formula indicating the high-rate performance of the block transform quantization scheme is presented. Finally, specific results determining the rate-distortion performance of the entropy-constrained block transform quantization scheme operating upon first-order Gauss-Markov sources are presented and comparisons with the Huang and Schultheiss block transform quantization, vector quantization, and predictive quantization are rendered.
Original language | English |
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Pages (from-to) | 1433-1439 |
Number of pages | 7 |
Journal | IEEE Transactions on Information Theory |
Volume | 37 |
Issue number | 5 |
DOIs | |
State | Published - Sep 1991 |
Keywords
- Gauss-Markov source
- Quantization
- distortion
- entropy
- orthogonal transform
- rate
- vector quantization