Principal component filter banks for optimum wavelet analysis

M. K. Tsatsanis, G. B. Giannakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Optimality issues are addressed when multiresolution methods are applied to random signals. An optimal P-band perfect reconstruction filter bank is derived, which decomposes the input signal into its lower-resolution principal components. Results are developed for stationary processes and a class of nonstationary processes, which includes cyclostationary signals. FIR designs are discussed and some examples presented.

Original languageEnglish (US)
Title of host publication1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages50-53
Number of pages4
ISBN (Electronic)0780305086, 9780780305083
DOIs
StatePublished - Jan 1 1992
Externally publishedYes
Event6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Victoria, Canada
Duration: Oct 7 1992Oct 9 1992

Publication series

Name1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings

Conference

Conference6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992
CountryCanada
CityVictoria
Period10/7/9210/9/92

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