Variance estimation and adaptive quantization (Corresp.)
- 1 May 1985
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Information Theory
- Vol. 31 (3) , 428-433
- https://doi.org/10.1109/tit.1985.1057029
Abstract
The relationship between variance estimation and adaptive quantization is investigated for memoryless Laplacian and Gaussian sources. Comparison of block average, exponential average, and maximum likelihood estimators in an adaptive quantization scheme indicates that estimator precision (variance) is more important than accuracy (bias) in minimizing distortion. Further, the block average and exponential average estimators are inconsistent when used in backward adaptive quantization.Keywords
This publication has 7 references indexed in Scilit:
- A note on optimal quantization (Corresp.)IEEE Transactions on Information Theory, 1979
- Quantizing Characteristics for Signals Having Laplacian Amplitude Probability Density FunctionIEEE Transactions on Communications, 1978
- A Robust Adaptive QuantizerIEEE Transactions on Communications, 1975
- The relationship between an adaptive quantizer and a variance estimator (Corresp.)IEEE Transactions on Information Theory, 1975
- Theory of an Adaptive QuantizerIEEE Transactions on Communications, 1974
- Adaptive Quantization with a One-Word MemoryThe Journal of the Acoustical Society of America, 1973
- Quantizing for minimum distortionIEEE Transactions on Information Theory, 1960