DocumentCode :
811810
Title :
New Levinson, Schur, and lattice type algorithms for linear phase filtering
Author :
Berberidis, Kostas ; Theodoridis, Sergios
Author_Institution :
Dept. of Comput. Eng. & Comput. Technol. Inst., Patras Univ., Greece
Volume :
38
Issue :
11
fYear :
1990
fDate :
11/1/1990 12:00:00 AM
Firstpage :
1879
Lastpage :
1892
Abstract :
The LS estimate of the impulse response of FIR filters with linear phase is known to be given by a structured linear set of equations. Three new algorithms are presented for the efficient solution of such systems. One is the unwindowed extension of a previously derived Levinson-type structurally symmetric algorithm. The second is a novel exact least squares lattice algorithm for time-recursive processing. The third is a Schur-type structurally symmetric algorithm with high degree of parallelism. The new structures have considerably lower computational complexity and more parsimonious parametrization compared to previously derived algorithms. This is because, in contrast to the previously derived algorithms, the new algorithms are developed so as to respect the symmetry which is intrinsic in the linear phase problem
Keywords :
computational complexity; digital filters; filtering and prediction theory; least squares approximations; signal processing; FIR filters; Levinson-type structurally symmetric algorithm; Schur-type structurally symmetric algorithm; computational complexity; exact least squares lattice algorithm; linear phase filtering; parsimonious parametrization; time-recursive processing; Equations; Filtering algorithms; Finite impulse response filter; Lattices; Least squares methods; Nonlinear filters; Signal processing algorithms; Spectral analysis; System identification; Transversal filters;
fLanguage :
English
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
0096-3518
Type :
jour
DOI :
10.1109/29.103089
Filename :
103089
Link To Document :
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