Noise reduction in oversampled filter banks using predictive quantization

Authors

Helmut Bölcskei and Franz Hlawatsch

Reference

IEEE Transactions on Information Theory, Vol. 47, No. 1, pp. 155-172, Jan. 2001.

Abstract

We introduce two methods for quantization noise reduction in oversampled filter banks. These methods are based on predictive quantization (noise shaping or linear prediction). It is demonstrated that oversampled noise shaping or linear predictive subband coders are well suited for subband coding applications where for technological or other reasons low resolution quantizers have to be used. In this case, oversampling combined with noise shaping or linear prediction improves the effective resolution of the subband coder at the expense of increased rate. Simulation results are provided to assess the achievable quantization noise reduction and resolution enhancement, and to investigate the rate-distortion properties of the proposed methods.

Keywords

Filter banks, oversampling, frame theory, quantization, noise reduction, noise shaping, linear prediction, subband coding, sigma-delta converter, rate-distortion theory

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