Title :
Signal deconvolution using fuzzy sets
Author :
Civanlar, M. Reha ; Trussell, H. Joel
Author_Institution :
North Carolina State University, Raleigh, NC
Abstract :
The fuzzy set deconvolution technique provides increased flexibility in incorporating a priori information. This method makes it possible to model partially defined information as well as exact knowledge and it has generated successful results when the conventional techniques have failed.
Keywords :
Cost accounting; Deconvolution; Degradation; Fuzzy sets; Iterative algorithms; Iterative methods; Signal processing; Signal processing algorithms; Signal restoration; Statistics;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '85.
DOI :
10.1109/ICASSP.1985.1168402
