Improve Akaikes Information Criterion Estimation Based onDenoising of Quadrature Mirror Filter Bank

Akaikes Information Criterion (AIC) is a popular method for estimation the number of sources impinging on an array of sensors, which is a problem of great interest in several applications. The performance of AIC degrades under low Signal-to-Noise Ratio (SNR). This paper is concerned with the develop...

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Autor principal:	Mohammed H. Miry
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2009
Materias:	Akaikes information criterion (AIC) quadrature mirror filters (QMF). Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/6b036e92ed3b49fa84834ec47a5bde88
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spelling	oai:doaj.org-article:6b036e92ed3b49fa84834ec47a5bde882021-12-02T04:45:01ZImprove Akaikes Information Criterion Estimation Based onDenoising of Quadrature Mirror Filter Bank1818-1171https://doaj.org/article/6b036e92ed3b49fa84834ec47a5bde882009-01-01T00:00:00Zhttp://www.iasj.net/iasj?func=fulltext&aId=2192https://doaj.org/toc/1818-1171Akaikes Information Criterion (AIC) is a popular method for estimation the number of sources impinging on an array of sensors, which is a problem of great interest in several applications. The performance of AIC degrades under low Signal-to-Noise Ratio (SNR). This paper is concerned with the development and application of quadrature mirror filters (QMF) for improving the performance of AIC. A new system is proposed to estimate the number of sources by applying AIC to the outputs of filter bank consisting quadrature mirror filters (QMF). The proposed system can estimate the number of sources under low signal-to-noise ratio (SNR).Mohammed H. MiryAl-Khwarizmi College of Engineering – University of BaghdadarticleAkaikes information criterion (AIC)quadrature mirror filters (QMF).Chemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 5, Iss 4, Pp 51-57 (2009)
institution	DOAJ
collection	DOAJ
language	EN
topic	Akaikes information criterion (AIC) quadrature mirror filters (QMF). Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Akaikes information criterion (AIC) quadrature mirror filters (QMF). Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Mohammed H. Miry Improve Akaikes Information Criterion Estimation Based onDenoising of Quadrature Mirror Filter Bank
description	Akaikes Information Criterion (AIC) is a popular method for estimation the number of sources impinging on an array of sensors, which is a problem of great interest in several applications. The performance of AIC degrades under low Signal-to-Noise Ratio (SNR). This paper is concerned with the development and application of quadrature mirror filters (QMF) for improving the performance of AIC. A new system is proposed to estimate the number of sources by applying AIC to the outputs of filter bank consisting quadrature mirror filters (QMF). The proposed system can estimate the number of sources under low signal-to-noise ratio (SNR).
format	article
author	Mohammed H. Miry
author_facet	Mohammed H. Miry
author_sort	Mohammed H. Miry
title	Improve Akaikes Information Criterion Estimation Based onDenoising of Quadrature Mirror Filter Bank
title_short	Improve Akaikes Information Criterion Estimation Based onDenoising of Quadrature Mirror Filter Bank
title_full	Improve Akaikes Information Criterion Estimation Based onDenoising of Quadrature Mirror Filter Bank
title_fullStr	Improve Akaikes Information Criterion Estimation Based onDenoising of Quadrature Mirror Filter Bank
title_full_unstemmed	Improve Akaikes Information Criterion Estimation Based onDenoising of Quadrature Mirror Filter Bank
title_sort	improve akaikes information criterion estimation based ondenoising of quadrature mirror filter bank
publisher	Al-Khwarizmi College of Engineering – University of Baghdad
publishDate	2009
url	https://doaj.org/article/6b036e92ed3b49fa84834ec47a5bde88
work_keys_str_mv	AT mohammedhmiry improveakaikesinformationcriterionestimationbasedondenoisingofquadraturemirrorfilterbank
_version_	1718401085635297280

Improve Akaikes Information Criterion Estimation Based onDenoising of Quadrature Mirror Filter Bank

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