DocumentCode :
1214690
Title :
Minimum entropy deconvolution and blind equalisation
Author :
Satorius, E.H. ; Mulligan, J.J.
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Volume :
28
Issue :
16
fYear :
1992
fDate :
7/30/1992 12:00:00 AM
Firstpage :
1534
Lastpage :
1535
Abstract :
Relationships between minimum entropy deconvolution developed primarily for geophysics applications, and blind equalisation are pointed out. It is seen that a large class of existing blind equalisation algorithms are directly related to the scale-invariant cost functions used in minimum entropy deconvolution. Thus the extensive analyses of these cost functions can be directly applied to blind equalisation, including the important asymptotic results of Donoho (1981).
Keywords :
information theory; signal processing; asymptotic results; blind equalisation; data communication channels; equalisation algorithms; minimum entropy deconvolution; scale-invariant cost functions;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19920974
Filename :
153230
Link To Document :
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