Statistical optimization of PR-QMF banks and wavelets


The design of optimal power complementary filters for multiresolution signal decomposition is considered. As a new performance measure in statistical optimization of filter banks the norm of cross-correlation (all subbands including all delays) will be used for optimization. The obtained filters will be compared to filters having minimum reconstruction error when the high-pass branches are dropped. In the paraunitary case, which is considered here, this reconstruction error is closely related to the coding gain of PCM in subbands over direct PCM. While the KL-transform combines both minimum reconstruction error and perfect decorrelation, filter banks do not. It is clear that the norm of cross-correlation becomes very important when better techniques than PCM are considered for the coding of subband signals.
Original languageEnglish
Title of host publicationProceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing
Number of pages4
Publication date01.04.1994
ISBN (Print)0-7803-1775-0
Publication statusPublished - 01.04.1994
EventProceedings of IEEE International Conference on Acoustics, Speech and Signal Processing 1994 - Adelaide, Australia
Duration: 19.04.199422.04.1994


Dive into the research topics of 'Statistical optimization of PR-QMF banks and wavelets'. Together they form a unique fingerprint.

Cite this