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