Quantization noise reduction in oversampled filter banks
AuthorsHelmut Bölcskei and Franz Hlawatsch
ReferenceProc. of IEEE International Symposium on Time-Frequency and Time-Scale Analysis (TFTS), Pittsburgh (PA), pp. 509-512, Oct. 1998.
AbstractWe introduce a new method for quantization noise reduction in oversampled filter banks. This method is based on predictive quantization and achieves much better noise reduction than the best existing methods for noise reduction in overcomplete representations. It is demonstrated that the proposed oversampled predictive subband coders are well suited for subband coding applications where low resolution quantizers have to be used. In this case, oversampling combined with linear prediction improves the effective resolution of the subband coder at the cost of increased rate. Simulation results are provided to assess the achievable quantization noise reduction and resolution enhancement.
KeywordsQuantization noise, linear prediction, subband coders, oversampling, filter banks
Download this document:
Copyright Notice: © 1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.