This paper focuses on subhand 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 filt er bank (including A ^ lM) 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 filler bank while improving the SNR.Here, we apply the method to modulated fillers 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.
|Journal||European Signal Processing Conference|
|State||Published - 2015|
|Event||8th European Signal Processing Conference, EUSIPCO 1996 - Trieste, Italy|
Duration: Sep 10 1996 → Sep 13 1996