DocumentCode
111573
Title
Decorrelating MVDR Filterbanks Using the Non-Uniform Discrete Fourier Transform
Author
Backstrom, Tom
Author_Institution
Int. Audio Labs. Erlangen, Friedrich Alexander Univ. of Erlangen-Nurnberg (FAU) & Fraunhofer Inst. of Integrated Circuits, Erlangen, Germany
Volume
22
Issue
4
fYear
2015
fDate
Apr-15
Firstpage
479
Lastpage
483
Abstract
Minimum variance distortionless response (MVDR) is a classic design criteria in signal adaptive spectral analysis as well as filter design. We extend this approach to filterbanks with the constraint that transform domain signal components must be uncorrelated. Our analysis shows that filterbanks based on Vandermonde decomposition of the autocorrelation matrix correspond to the non-uniform discrete Fourier transform and satisfies the MVDR criteria. Namely, the columns of the inverse Vandermonde matrix corresponds to filters with unit response at the pass-band while leakage is minimized with the constraint that components remain uncorrelated. In the special case that the autocorrelation matrix is rank deficient, the proposed filterbank coincides with Pisarenko´s harmonic decomposition, which thus also satisfies the MVDR criteria.
Keywords
adaptive signal processing; channel bank filters; discrete Fourier transforms; MVDR filterbanks; Pisarenko harmonic decomposition; Vandermonde decomposition; autocorrelation matrix; domain signal components; filter design; minimum variance distortionless response; nonuniform discrete Fourier transform; signal adaptive spectral analysis; Correlation; Decorrelation; Discrete Fourier transforms; Harmonic analysis; Matrix decomposition; Time-frequency analysis; Minimum-variance distortionless response; Pisarenko’s harmonic decomposition; Vandermonde transform; time-frequency transform;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2014.2363234
Filename
6926762
Link To Document