Robust blind deconvolution algorithm: Variance approximation and series decoupling

F. Zheng; S. Mclaughlin; B. Mulgrew

doi:10.1049/el:19900602

Robust blind deconvolution algorithm: Variance approximation and series decoupling

F. Zheng
, S. Mclaughlin
, B. Mulgrew

University of Edinburgh

Research output: Contribution to journal › Article › peer-review

Abstract

An alternative blind deconvolution algorithm for white-noise driven minimum phase systems is presented and verified by computer simulation. This algorithm uses a cost function based on a novel idea: variance approximation and series decoupling (VASD), and suggests that not all autocorrelation function values are necessary to implement blind deconvolution.

Original language	English
Pages (from-to)	921-923
Number of pages	3
Journal	Electronics Letters
Volume	26
Issue number	13
DOIs	https://doi.org/10.1049/el:19900602
State	Published - 1990
Externally published	Yes

Keywords

Algorithms
Signal processing

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10.1049/el:19900602

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title = "Robust blind deconvolution algorithm: Variance approximation and series decoupling",

abstract = "An alternative blind deconvolution algorithm for white-noise driven minimum phase systems is presented and verified by computer simulation. This algorithm uses a cost function based on a novel idea: variance approximation and series decoupling (VASD), and suggests that not all autocorrelation function values are necessary to implement blind deconvolution.",

keywords = "Algorithms, Signal processing",

author = "F. Zheng and S. Mclaughlin and B. Mulgrew",

year = "1990",

doi = "10.1049/el:19900602",

language = "英语",

volume = "26",

pages = "921--923",

journal = "Electronics Letters",

issn = "0013-5194",

publisher = "John Wiley \& Sons Inc.",

number = "13",

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TY - JOUR

T1 - Robust blind deconvolution algorithm

T2 - Variance approximation and series decoupling

AU - Zheng, F.

AU - Mclaughlin, S.

AU - Mulgrew, B.

PY - 1990

Y1 - 1990

N2 - An alternative blind deconvolution algorithm for white-noise driven minimum phase systems is presented and verified by computer simulation. This algorithm uses a cost function based on a novel idea: variance approximation and series decoupling (VASD), and suggests that not all autocorrelation function values are necessary to implement blind deconvolution.

AB - An alternative blind deconvolution algorithm for white-noise driven minimum phase systems is presented and verified by computer simulation. This algorithm uses a cost function based on a novel idea: variance approximation and series decoupling (VASD), and suggests that not all autocorrelation function values are necessary to implement blind deconvolution.

KW - Algorithms

KW - Signal processing

UR - https://www.scopus.com/pages/publications/0025446516

U2 - 10.1049/el:19900602

DO - 10.1049/el:19900602

M3 - 文章

AN - SCOPUS:0025446516

SN - 0013-5194

VL - 26

SP - 921

EP - 923

JO - Electronics Letters

JF - Electronics Letters

IS - 13

ER -

Robust blind deconvolution algorithm: Variance approximation and series decoupling

Abstract

Keywords

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