DocumentCode :
1112740
Title :
Time-variant displacement structure and triangular arrays
Author :
Sayed, Ali H. ; Lev-Ari, Hanoch ; Kailath, Thomas
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Volume :
42
Issue :
5
fYear :
1994
fDate :
5/1/1994 12:00:00 AM
Firstpage :
1052
Lastpage :
1062
Abstract :
The authors extend the concept of displacement structure to time-variant matrices and use it to efficiently and recursively propagate the Cholesky factor of such matrices. A natural implementation of the algorithm is via a modular triangular array of processing elements. When the algorithm is applied to solve the normal equations that arise in adaptive least-squares filtering, they get the so-called QR algorithm, with the extra bonus of a parallelizable procedure for determining the weight vector. It is shown that the general algorithm can also be implemented in time-variant lattice form; a specialization of this result yields a time-variant Schur algorithm
Keywords :
filtering and prediction theory; least squares approximations; matrix algebra; time-varying systems; Cholesky factor; QR algorithm; adaptive least-squares filtering; algorithm; processing elements; time-variant Schur algorithm; time-variant displacement structure; time-variant lattice; time-variant matrices; triangular arrays; weight vector; Adaptive filters; Contracts; Equations; Filtering algorithms; Helium; History; Information systems; Lattices; Mathematics; Signal processing algorithms;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.295212
Filename :
295212
Link To Document :
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