Title :
A pipelined structure for QR adaptive LS system identification
Author :
Varvitsiotis, A.P. ; Theodoridis, S.
Author_Institution :
Div. of Comput. Sci., Nat. Tech. Univ., Athens
fDate :
8/1/1991 12:00:00 AM
Abstract :
A novel systolic array for LS system identification based on QR factorization via Givens rotations is proposed. The back-substitution step is circumvented, and the structure is fully pipelineable. Thus, the method is appropriate for continuous, sample-by-sample mode, adaptive operation. A modification of this structure is also suggested which is suitable for a wide range of linear algebraic operations and is solely based on Givens rotations
Keywords :
adaptive filters; computerised signal processing; least squares approximations; parameter estimation; pipeline processing; systolic arrays; Givens rotations; LS system identification; QR factorization; adaptive operation; least squares estimation; linear algebraic operations; pipelined structure; signal processing; systolic array; Adaptive systems; Convolution; Equations; Least squares approximation; Parameter estimation; Signal synthesis; Speech; Switches; System identification; Writing;
Journal_Title :
Signal Processing, IEEE Transactions on
