Efficient Minimum-Phase Prefilter Computation Using Fast QL-Factorization

Morten Hansen; Lars P.B. Christensen

doi:10.1109/ICASSP.2009.4960179

Efficient Minimum-Phase Prefilter Computation Using Fast QL-Factorization

Morten Hansen, Lars P.B. Christensen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

This paper presents a novel approach for computing both the minimum-phase filter and the associated all-pass filter in a computationally efficient way using the fast QL-factorization. A desirable property of this approach is that the complexity is independent on the size of the matrix which is QL-factorized, and thereby the complexity scales with the required precision of the filters and the filter length.

Original language	English
Title of host publication	IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. ICASSP 2009.
Publisher	IEEE
Publication date	2009
ISBN (Print)	978-1-4244-2353-8
DOIs	https://doi.org/10.1109/ICASSP.2009.4960179
Publication status	Published - 2009
Event	2009 IEEE International Conference on Acoustics, Speech and Signal Processing - Taipei, Taiwan, Province of China Duration: 19 Apr 2009 → 24 Apr 2009 Conference number: 34 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4912736

Conference

Conference	2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Number	34
Country/Territory	Taiwan, Province of China
City	Taipei
Period	19/04/2009 → 24/04/2009
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4912736

Bibliographical note

Copyright: 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

Keywords

minimum-phase systems
Communications
prefiltering
fast QL-factorization

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title = "Efficient Minimum-Phase Prefilter Computation Using Fast QL-Factorization",

abstract = "This paper presents a novel approach for computing both the minimum-phase filter and the associated all-pass filter in a computationally efficient way using the fast QL-factorization. A desirable property of this approach is that the complexity is independent on the size of the matrix which is QL-factorized, and thereby the complexity scales with the required precision of the filters and the filter length.",

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Hansen, M & Christensen, LPB 2009, Efficient Minimum-Phase Prefilter Computation Using Fast QL-Factorization. in IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. ICASSP 2009.. IEEE, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, Taipei, Taiwan, Province of China, 19/04/2009. https://doi.org/10.1109/ICASSP.2009.4960179

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AU - Christensen, Lars P.B.

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N2 - This paper presents a novel approach for computing both the minimum-phase filter and the associated all-pass filter in a computationally efficient way using the fast QL-factorization. A desirable property of this approach is that the complexity is independent on the size of the matrix which is QL-factorized, and thereby the complexity scales with the required precision of the filters and the filter length.

AB - This paper presents a novel approach for computing both the minimum-phase filter and the associated all-pass filter in a computationally efficient way using the fast QL-factorization. A desirable property of this approach is that the complexity is independent on the size of the matrix which is QL-factorized, and thereby the complexity scales with the required precision of the filters and the filter length.

KW - minimum-phase systems

KW - Communications

KW - prefiltering

KW - fast QL-factorization

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DO - 10.1109/ICASSP.2009.4960179

M3 - Article in proceedings

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BT - IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. ICASSP 2009.

PB - IEEE

T2 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing

Y2 - 19 April 2009 through 24 April 2009

ER -

Efficient Minimum-Phase Prefilter Computation Using Fast QL-Factorization

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Keywords

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