DocumentCode
939158
Title
Two-dimensional adaptive prediction, smoothing and filtering
Author
Wellstead, P.E. ; Wagner, G.R. ; Caldas-Pinto, J.R.
Author_Institution
University of Manchester Institute of Science & Technology, Control Systems Centre, Manchester, UK
Volume
134
Issue
3
fYear
1987
fDate
6/1/1987 12:00:00 AM
Firstpage
253
Lastpage
267
Abstract
The paper describes new algorithms drawn from the field of control engineering which extend classical Weiner smoothing and prediction concepts to cover a class of two-dimensional (2-D) problems. When combined with a recursive parameter estimator, the 2-D algorithms become self-tuning in nature and provide a powerful new class of adaptive signal processing techniques. Applications include image enhancement and multisensor signal filtering.
Keywords
adaptive systems; filtering and prediction theory; picture processing; signal processing; 2-D algorithms; Weiner smoothing; adaptive prediction; adaptive signal processing; image enhancement; multisensor signal filtering; self-tuning; two dimensional problems;
fLanguage
English
Journal_Title
Communications, Radar and Signal Processing, IEE Proceedings F
Publisher
iet
ISSN
0143-7070
Type
jour
DOI
10.1049/ip-f-1.1987.0053
Filename
4647207
Link To Document