Proceedings of the 12th IEEE Digital Signal Processing Workshop, pp. 187-192, Grand Teton National Park, Wyoming, September 24-27, 2006.

Reducing Quantization Error by Matching Pseudoerror Statistics

doi: 10.1109/DSPWS.2006.265440

S. Voran

Abstract: We investigate the use of an adaptive processor (a quantizer pseudoinverse) and the statistics of the associated pseudoerror signal to reduce quantization error in scalar quantizers when a small amount of prior knowledge about the signal x is available. This approach uses both the quantizer representation points and the thresholds at the receiver. No increase in the transmitted data rate is required. We discuss examples that use low-pass, high-pass, and band-pass signals along with an adaptive processor that consists of a set of filters and clippers. Matching a single pseudoerror statistic to a target value is sufficient to attain modest reductions in quantization error in situations with one degree of freedom. Adaptive processing based on a pair of pseudoerror statistics allows for quantization noise reduction in problems with two degrees of freedom.

Keywords: signal processing; adaptive filtering; information retrieval; quantization; band pass filters; signal resolution; error analysis; noise reduction; noise shaping; signal design

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Lilli Segre, Publications Officer
Institute for Telecommunication Sciences
(303) 497-3572

For technical information concerning this report, contact:

Stephen D. Voran
Institute for Telecommunication Sciences
(303) 497-3839

Disclaimer: Certain commercial equipment, components, and software may be identified in this report to specify adequately the technical aspects of the reported results. In no case does such identification imply recommendation or endorsement by the National Telecommunications and Information Administration, nor does it imply that the equipment or software identified is necessarily the best available for the particular application or uses.

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