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29 July 1994 Applications of wavelet subband decomposition in adaptive arrays
Ismail I. Jouny
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Proceedings Volume 2234, Automatic Object Recognition IV; (1994) https://doi.org/10.1117/12.181044
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States
Abstract
Pre-processing radar signals incident on an adaptive array by applying an invertible transformation such as wavelets are the focus of this study. The effect of wavelet subband decomposition of radar signals prior to adaptation using an LMS algorithm or an Applebaum processor on the adaptation rate of these processors is examined. The performance of wavelet transform based array processors is compared with that of the FFT and cosine transform. The dynamic range of the array weights before and after wavelet transformation is being examined. Simulations involving experimental radar data and different types of wavelets are also presented.
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Ismail I. Jouny "Applications of wavelet subband decomposition in adaptive arrays", Proc. SPIE 2234, Automatic Object Recognition IV, (29 July 1994); https://doi.org/10.1117/12.181044
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KEYWORDS
Wavelets
Signal processing
Radar
Wavelet transforms
Array processing
Chemical elements
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