DocumentCode :
2994964
Title :
The block-processing FTF adaptive algorithm
Author :
Cioffi, John M.
Author_Institution :
IBM Research Laboratory, San Jose, CA
Volume :
10
fYear :
1985
fDate :
31138
Firstpage :
1241
Lastpage :
1244
Abstract :
A new order-recursive least-squares algorithm for adaptive processing of discontinuous blocks of data is presented. For any one of these data blocks, the new algorithm is significantly more efficient in both total and "per-order" computation than any others that solve this same problem, including those recently introduced by Morf et al (1977), by Marple (1981), and by Kalouptsidis, Carayannis, and Manolakis (1985). In addition, the new numerically stable algorithm permits the recursive incorporation of new blocks of data, unlike those previous algorithms, which cannot be modified for use with more than one data block. The new algorithm does not vary block length with order during the intermediate computations for a particular block and is derived using the geometric Fast Transversal Filters (FTF) concepts that have also been used in time-recursive least-squares algorithms.
Keywords :
Adaptive algorithm; Costs; Equations; Laboratories; Length measurement; Linear systems; Nonlinear filters; Time measurement; Transversal filters; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '85.
Type :
conf
DOI :
10.1109/ICASSP.1985.1168388
Filename :
1168388
Link To Document :
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