Improve Akaike’s Information Criterion Estimation Based on Denoising of Quadrature Mirror Filter Bank
Akaike’s 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 develo...
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| Format: | Article |
| Language: | English |
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Al-Khwarizmi College of Engineering – University of Baghdad
2019-03-01
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| Series: | Al-Khawarizmi Engineering Journal |
| Online Access: | http://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/583 |
| _version_ | 1818404826011140096 |
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| author | Mohammed H. Miry |
| author_facet | Mohammed H. Miry |
| author_sort | Mohammed H. Miry |
| collection | DOAJ |
| description | Akaike’s 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). |
| first_indexed | 2024-12-14T08:46:19Z |
| format | Article |
| id | doaj.art-9cbc9611ebe1419996f3a2e93997a577 |
| institution | Directory Open Access Journal |
| issn | 1818-1171 2312-0789 |
| language | English |
| last_indexed | 2024-12-14T08:46:19Z |
| publishDate | 2019-03-01 |
| publisher | Al-Khwarizmi College of Engineering – University of Baghdad |
| record_format | Article |
| series | Al-Khawarizmi Engineering Journal |
| spelling | doaj.art-9cbc9611ebe1419996f3a2e93997a5772022-12-21T23:09:10ZengAl-Khwarizmi College of Engineering – University of BaghdadAl-Khawarizmi Engineering Journal1818-11712312-07892019-03-0154Improve Akaike’s Information Criterion Estimation Based on Denoising of Quadrature Mirror Filter BankMohammed H. Miry0Department of Electrical and Electronic Engineering/ University of TechnologyAkaike’s 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).http://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/583 |
| spellingShingle | Mohammed H. Miry Improve Akaike’s Information Criterion Estimation Based on Denoising of Quadrature Mirror Filter Bank Al-Khawarizmi Engineering Journal |
| title | Improve Akaike’s Information Criterion Estimation Based on Denoising of Quadrature Mirror Filter Bank |
| title_full | Improve Akaike’s Information Criterion Estimation Based on Denoising of Quadrature Mirror Filter Bank |
| title_fullStr | Improve Akaike’s Information Criterion Estimation Based on Denoising of Quadrature Mirror Filter Bank |
| title_full_unstemmed | Improve Akaike’s Information Criterion Estimation Based on Denoising of Quadrature Mirror Filter Bank |
| title_short | Improve Akaike’s Information Criterion Estimation Based on Denoising of Quadrature Mirror Filter Bank |
| title_sort | improve akaike s information criterion estimation based on denoising of quadrature mirror filter bank |
| url | http://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/583 |
| work_keys_str_mv | AT mohammedhmiry improveakaikesinformationcriterionestimationbasedondenoisingofquadraturemirrorfilterbank |