Equal convergence conditions for normal- and partitioned-frequency domain adaptive filters

Piet C.W. Sommen; E. de Wilde

doi:10.1109/ICASSP.1992.226409

Equal convergence conditions for normal- and partitioned-frequency domain adaptive filters

Piet C.W. Sommen, E. de Wilde

Signal Processing Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

Abstract

Convergence characteristics of adaptive filters are influenced by statistical properties of the input signal. In order to remove this dependency, decorrelation can be applied with a frequency- domain adaptive filter (FDAF), in which the length M of the transformation between the time and the frequency domain is chosen to be equal to the length N of the adaptive filter. The relevant length M is determined by the statistical properties of the input signal and needs not to be equal to N. Both lengths M and N can be decoupled by using partitioned frequency-domain adaptive filters (PFDAFs). Statistical conditions are derived for the input signal in such a way that both PFDAF and FDAF have equal convergence properties.

Original language	English
Title of host publication	ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	69-72
Number of pages	4
ISBN (Print)	0-7803-0532-9
DOIs	https://doi.org/10.1109/ICASSP.1992.226409
Publication status	Published - 26 Mar 1992
Event	1992 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1992) - San Francisco, United States Duration: 23 Mar 1992 → 26 Mar 1992

Conference

Conference	1992 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1992)
Country/Territory	United States
City	San Francisco
Period	23/03/92 → 26/03/92

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10.1109/ICASSP.1992.226409

Cite this

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title = "Equal convergence conditions for normal- and partitioned-frequency domain adaptive filters",

abstract = "Convergence characteristics of adaptive filters are influenced by statistical properties of the input signal. In order to remove this dependency, decorrelation can be applied with a frequency- domain adaptive filter (FDAF), in which the length M of the transformation between the time and the frequency domain is chosen to be equal to the length N of the adaptive filter. The relevant length M is determined by the statistical properties of the input signal and needs not to be equal to N. Both lengths M and N can be decoupled by using partitioned frequency-domain adaptive filters (PFDAFs). Statistical conditions are derived for the input signal in such a way that both PFDAF and FDAF have equal convergence properties.",

author = "Sommen, {Piet C.W.} and {de Wilde}, E.",

year = "1992",

month = mar,

day = "26",

doi = "10.1109/ICASSP.1992.226409",

language = "English",

isbn = "0-7803-0532-9",

pages = "69--72",

booktitle = "ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "1992 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1992) ; Conference date: 23-03-1992 Through 26-03-1992",

}

Sommen, PCW & de Wilde, E 1992, Equal convergence conditions for normal- and partitioned-frequency domain adaptive filters. in ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing., 226409, Institute of Electrical and Electronics Engineers, Piscataway, pp. 69-72, 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1992), San Francisco, United States, 23/03/92. https://doi.org/10.1109/ICASSP.1992.226409

Equal convergence conditions for normal- and partitioned-frequency domain adaptive filters. / Sommen, Piet C.W.; de Wilde, E.
ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing. Piscataway: Institute of Electrical and Electronics Engineers, 1992. p. 69-72 226409.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Equal convergence conditions for normal- and partitioned-frequency domain adaptive filters

AU - Sommen, Piet C.W.

AU - de Wilde, E.

PY - 1992/3/26

Y1 - 1992/3/26

N2 - Convergence characteristics of adaptive filters are influenced by statistical properties of the input signal. In order to remove this dependency, decorrelation can be applied with a frequency- domain adaptive filter (FDAF), in which the length M of the transformation between the time and the frequency domain is chosen to be equal to the length N of the adaptive filter. The relevant length M is determined by the statistical properties of the input signal and needs not to be equal to N. Both lengths M and N can be decoupled by using partitioned frequency-domain adaptive filters (PFDAFs). Statistical conditions are derived for the input signal in such a way that both PFDAF and FDAF have equal convergence properties.

AB - Convergence characteristics of adaptive filters are influenced by statistical properties of the input signal. In order to remove this dependency, decorrelation can be applied with a frequency- domain adaptive filter (FDAF), in which the length M of the transformation between the time and the frequency domain is chosen to be equal to the length N of the adaptive filter. The relevant length M is determined by the statistical properties of the input signal and needs not to be equal to N. Both lengths M and N can be decoupled by using partitioned frequency-domain adaptive filters (PFDAFs). Statistical conditions are derived for the input signal in such a way that both PFDAF and FDAF have equal convergence properties.

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U2 - 10.1109/ICASSP.1992.226409

DO - 10.1109/ICASSP.1992.226409

M3 - Conference contribution

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EP - 72

BT - ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1992)

Y2 - 23 March 1992 through 26 March 1992

ER -

Equal convergence conditions for normal- and partitioned-frequency domain adaptive filters

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