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A differential evolution algorithm for the extraction of complex natural resonance frequencies of electromagnetic targets 

Secmen, M.; Tasgetiren, M.F. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011)
This paper presents a differential evolution algorithm in order to find unique resonance frequencies of an electromagnetic target in the resonance scattering region. These frequencies are estimated from the roots of Laplace ...
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The application of fusion of multiple aspect scattered data to PMUSIC-vector based electromagnetic target identification 

Secmen, M. (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), 2011)
This paper presents an electromagnetic target identification method in the resonance scattering region, which uses pseudospectrum multiple signal classification (PMUSIC) vectors as feature vectors. These feature vectors ...
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Radar target classification method with high accuracy and decision speed performance using MUSIC spectrum vectors and PCA projection 

Secmen, M. (Radio Science, 2011)
This paper introduces the performance of an electromagnetic target recognition method in resonance scattering region, which includes pseudo spectrum Multiple Signal Classification (MUSIC) algorithm and principal component ...
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A fast radar target identification method using SVD noise reduction technique and PMUSIC profiles [TDA gürültü azaltma tekni̇gi̇ ve pmusic profi̇lleri̇ kullanan hizli bi̇r radar hedef ayirtetme yöntemi̇] 

Secmen, M. (2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011, 2011)
In this paper, a fast radar target identification method suitable for real-time applications will be presented. The indicated method mainly uses singular value decomposition (SVD) based noise reduction technique and ...
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Radar target classification method with high accuracy and decision speed performance using MUSIC spectrum vectors and PCA projection 

Secmen, M. (AMER GEOPHYSICAL UNION, 2011)
This paper introduces the performance of an electromagnetic target recognition method in resonance scattering region, which includes pseudo spectrum Multiple Signal Classification (MUSIC) algorithm and principal component ...
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A Differential Evolution Algorithm for the Extraction of Complex Natural Resonance Frequencies of Electromagnetic Targets 

Secmen, M.; Tasgetiren, M.F. (SPRINGER-VERLAG BERLIN, 2011)
This paper presents a differential evolution algorithm in order to find unique resonance frequencies of an electromagnetic target in the resonance scattering region. These frequencies are estimated from the roots of Laplace ...
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The Application of Fusion of Multiple Aspect Scattered Data to PMUSIC-Vector Based Electromagnetic Target Identification 

Secmen, M. (IEEE, 2011)
This paper presents an electromagnetic target identification method in the resonance scattering region, which uses pseudospectrum multiple signal classification (PMUSIC) vectors as feature vectors. These feature vectors ...





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Author
Secmen, M. (7)
Tasgetiren, M.F. (2)Date Issued
2011 (7)
Has File(s)No (7)

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