DocumentCode :
2957133
Title :
Adaptive recursive algorithms for image restoration and array processing
Author :
Hui, S. ; Er, M.
Author_Institution :
Defence Sci. Organ., Singapore
fYear :
1990
fDate :
3-6 Apr 1990
Firstpage :
2859
Abstract :
An iterative regularized pseudoinverse (RPI) algorithm for restoring a linearly degraded image in the presence of noise is described. The array processing problem is recast into such a form that the iterative RPI algorithm can be used to compute the array weight vector recursively. This is done by absorbing the linear constraint vector into the array weight vector using a projection matrix. The convergence rate of the algorithm is very fast, and it is capable of resolving fully coherent sources. The performance of the algorithm is demonstrated through numerical examples
Keywords :
iterative methods; matrix algebra; noise; picture processing; array processing; array weight vector; fully coherent sources; image restoration; iterative regularized pseudoinverse; linear constraint vector; linearly degraded image; noise; projection matrix; Adaptive arrays; Array signal processing; Convergence; Degradation; Economic indicators; Image restoration; Iterative algorithms; Jamming; Matrix decomposition; Radar; Sensor arrays; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.1990.116222
Filename :
116222
Link To Document :
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