Optimal filterbanks for signal reconstruction from noisy subband components

Delopoulos, A; Kollias, S

dc.contributor.author	Delopoulos, A	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:48:14Z
dc.date.available	2014-03-01T02:48:14Z
dc.date.issued	1994	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33657
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	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.title	Optimal filterbanks for signal reconstruction from noisy subband components	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ACSSC.1994.471608	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ACSSC.1994.471608	en
heal.publicationDate	1994	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 lose, however, 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 taking into	en
heal.journalName	Asilomar Conference on Signals, Systems & Computers	en
dc.identifier.doi	10.1109/ACSSC.1994.471608	en