DocumentCode
2607035
Title
Adaptive filters and multichannel signal processing
Author
Venetsanopoulos, A.N. ; Plataniotis, K.N.
Author_Institution
Toronto Univ., Ont., Canada
fYear
2000
fDate
2000
Firstpage
147
Lastpage
152
Abstract
Processing multichannel signals using digital signal processing techniques has received increased attention lately due to its importance in applications, such as multimedia technologies and telecommunications. The perspective of the topic offered here is one that comes primarily from work done in the field of multichannel image processing. The adaptive filtering techniques discussed in the paper relate to image processing with the emphasis placed primarily on filtering algorithms based on fuzzy logic concepts, multidimensional scaling, and order statistics-based designs. The strong potential of adaptive filters for multichannel image processing is illustrated with several examples
Keywords
adaptive filters; filtering theory; fuzzy logic; image colour analysis; image processing; multidimensional signal processing; adaptive filtering techniques; adaptive filters; color image processing; digital signal processing techniques; filtering algorithms; fuzzy logic concepts; multichannel image processing; multichannel signal processing; multidimensional scaling; multimedia; order statistics-based designs; telecommunications; Adaptive filters; Adaptive signal processing; Algorithm design and analysis; Digital signal processing; Filtering algorithms; Fuzzy logic; Image processing; Multidimensional signal processing; Multidimensional systems; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Adaptive Systems for Signal Processing, Communications, and Control Symposium 2000. AS-SPCC. The IEEE 2000
Conference_Location
Lake Louise, Alta.
Print_ISBN
0-7803-5800-7
Type
conf
DOI
10.1109/ASSPCC.2000.882462
Filename
882462
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