DocumentCode :
791845
Title :
A recursive frequency-sampling method for designing zero-phase FIR filters by nonuniform samples
Author :
Angelidis, Emmanuel
Author_Institution :
Hellenic Navy Res. Centre, Minist. of National Defense, Holargos, Greece
Volume :
43
Issue :
6
fYear :
1995
fDate :
6/1/1995 12:00:00 AM
Firstpage :
1461
Lastpage :
1467
Abstract :
A novel frequency-sampling method for designing zero-phase FIR filters from nonuniform samples is presented. The method is fast, simple, recursive and can be used in the design of 1D or 2D zero-phase FIR filters by imposing some mild constraints on sample locations in the 2D frequency plane. Based on a novel Newton representation of the filter transfer function the proposed method guarantees real results, saves a number of operations and produces accurate solutions even in cases of designing high-order filters or when the interpolation matrix is ill-conditioned. In the progressive case when the next sample appears, the design parameters are evaluated by updating the old ones with correction terms that could be used as indicators for convergence, approximation, or filter reduction. The method can be used in mD filter design, in LU-factorization or in inversion of cosine matrices
Keywords :
FIR filters; Newton method; interpolation; polynomial matrices; recursive filters; signal representation; signal sampling; transfer function matrices; two-dimensional digital filters; 1D zero-phase FIR filters; 2D frequency plane; 2D zero-phase FIR filters; LU-factorization; Newton representation; constraint; correction terms; cosine matrices; design; filter reduction; filter transfer function; high-order filters; interpolation matrix; inversion; mD filter; nonuniform samples; recursive frequency-sampling method; zero-phase FIR filters; Adaptive filters; Adaptive signal processing; Design methodology; Finite impulse response filter; Frequency response; Interpolation; Polynomials; Sampling methods; Signal processing algorithms; Transfer functions;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.388858
Filename :
388858
Link To Document :
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