Optimal filterbanks for signal reconstruction from noisy subband components

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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 http://hdl.handle.net/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

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