MMSE filter banks with reduced complexity

Tanja Karp, Karine Gosse, A. Mertins, Pierre Duhamel


This paper focuses on subband coding schemes based on critically decimated paraunitary filter banks. An additional network with matrix A is introduced on the decoder side. We show here how to optimize its coefficients jointly with the quantization steps in order to reduce the reconstruction mean square error (MSE) on the output signal due to quantization and filtering. This optimization is performed under bit-rate constraint. Of course, the resulting overall MMSE filter bank (including A ≠ I m ) does not allow perfect reconstruction (PR), but the signal-to-noise ratio (SNR) is remarkably better than for the PR solutions. The main advantage of such an approach is to preserve the original structure of the filter bank while improving the SNR. Here, we apply the method to modulated filters which can be implemented at very low cost. Solutions are given by comparing rate-distortion curves for various forms of A, several paraunitary modulated filter banks, and two bit-rate measures.
Original languageEnglish
Title of host publication1996 8th European Signal Processing Conference (EUSIPCO 1996)
Number of pages4
Publication date01.09.1996
ISBN (Print)978-888-6179-83-6
Publication statusPublished - 01.09.1996
Event8th European Signal Processing Conference - Trieste, Italy
Duration: 10.09.199613.09.1996


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