Title :
QRD-based fast RLS multichannel adaptive algorithms
Author :
Syed, Mushtaq A.
Author_Institution :
Dept. of Electr. Eng., Utah Univ., Salt Lake City, UT, USA
Abstract :
The author presents QR decomposition based fast RLS (recursive least squares) algorithms for multichannel adaptive signal processing. These algorithms are based on length-preserving orthogonal transformations which have good numerical properties. Hence, these algorithms are numerically stable. Also, they are amenable to parallel implementations using systolic and wavefront array architectures. One of the algorithms is a block algorithm in the sense that it processes all the channels simultaneously. The other is a sequential algorithm
Keywords :
least squares approximations; parallel algorithms; signal processing; telecommunication channels; QR decomposition; QRD; block algorithm; fast RLS multichannel adaptive algorithms; multichannel adaptive signal processing; numerical properties; numerical stability; orthogonal transformations; parallel algorithms; recursive least squares; sequential algorithm; systolic architectures; wavefront array architectures; Adaptive algorithm; Adaptive signal processing; Cities and towns; Filtering algorithms; Filters; Geophysics computing; Multidimensional signal processing; Resonance light scattering; Signal processing; Signal processing algorithms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.150707
