Optimal filter banks for signal reconstruction from noisy subband components

Delopoulos, AN; Kollias, SD

dc.contributor.author	Delopoulos, AN	en
dc.contributor.author	Kollias, SD	en
dc.date.accessioned	2014-03-01T01:12:10Z
dc.date.available	2014-03-01T01:12:10Z
dc.date.issued	1996	en
dc.identifier.issn	1053-587X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11985
dc.subject	Adaptive Algorithm	en
dc.subject	Additive Noise	en
dc.subject	Design Technique	en
dc.subject	Filter Design	en
dc.subject	kronecker product	en
dc.subject	Mean Square Error	en
dc.subject	Optimal Filtering	en
dc.subject	Perfect Reconstruction	en
dc.subject	Second Order Statistics	en
dc.subject	Signal Reconstruction	en
dc.subject	Subband Coding	en
dc.subject	Filter Bank	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	WAVELET TRANSFORM	en
dc.title	Optimal filter banks for signal reconstruction from noisy subband components	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/78.485918	en
heal.identifier.secondary	http://dx.doi.org/10.1109/78.485918	en
heal.language	English	en
heal.publicationDate	1996	en
heal.abstract	Conventional design techniques for analysis and synthesis filters in subband processing applications guarantee perfect reconstruction of the original signal from its subband components. The resulting filters, however, lose their optimality when additive noise due, for example, to signal quantization, disturbs the subband sequences. In this paper, we propose filter design techniques that minimize the reconstruction mean squared error (MSE) taking into account the second order statistics of signals and noise in the case of either stochastic or deterministic signals. A novel recursive, pseudo-adaptive algorithm is proposed for efficient design of these filters. Analysis and derivations are extended to 2-D signals and filters using powerful Kronecker product notation. A prototype application of the proposed ideas in subband coding is presented. Simulations illustrate the superior performance of the proposed filter banks versus conventional perfect reconstruction filters in the presence of additive subband noise. © 1996 IEEE.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Transactions on Signal Processing	en
dc.identifier.doi	10.1109/78.485918	en
dc.identifier.isi	ISI:A1996UB15800005	en
dc.identifier.volume	44	en
dc.identifier.issue	2	en
dc.identifier.spage	212	en
dc.identifier.epage	224	en