DocumentCode
1068602
Title
Fast algorithms for estimation and signal processing: an inverse scattering framework
Author
Yagle, Andrew E.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Volume
37
Issue
6
fYear
1989
fDate
6/1/1989 12:00:00 AM
Firstpage
957
Lastpage
959
Abstract
The inverse scattering problem for a lossless transmission line has been used as a framework for deriving the Levinson and Schur fast algorithms for Toeplitz matrices. Here, the same framework is used to derive and attach novel simple scattering interpretations to the lattice algorithm and the split algorithms. This demonstrates that the scattering and interpretation is more fundamental to fast signal-processing algorithms than previously noted
Keywords
filtering and prediction theory; matrix algebra; parameter estimation; signal processing; Toeplitz matrices; estimation; fast algorithms; inverse scattering framework; lattice algorithm; signal processing; split algorithms; Acoustic scattering; Equations; Filtering; Filters; Inverse problems; Phase change materials; Signal processing algorithms; Speech coding; Speech enhancement; Transmission line matrix methods;
fLanguage
English
Journal_Title
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
0096-3518
Type
jour
DOI
10.1109/ASSP.1989.28071
Filename
28071
Link To Document