DocumentCode :
1022119
Title :
Weighted least-squares design and characterization of complex FIR filters
Author :
Jaffer, Amin G. ; Jones, William E.
Author_Institution :
Hughes Aircraft Co., Fullerton, CA, USA
Volume :
43
Issue :
10
fYear :
1995
fDate :
10/1/1995 12:00:00 AM
Firstpage :
2398
Lastpage :
2401
Abstract :
The paper presents two novel weighted least-squares methods for the design of complex coefficient finite impulse response (FIR) filters to attain specified arbitrary multiband magnitude and linear or arbitrary phase responses. These methods are computationally efficient, requiring only the solution of a Toeplitz system of N linear equations for an N-length filter that can be obtained in o(N2) operations. Illustrative filter design examples are presented
Keywords :
FIR filters; Toeplitz matrices; digital filters; least squares approximations; N-length filter; Toeplitz system; arbitrary phase response; characterization; complex FIR filters; design; filter design; finite impulse response; linear equations; linear phase response; multiband magnitude; weighted least-squares methods; Algorithm design and analysis; Chebyshev approximation; Design methodology; Equations; Finite impulse response filter; Frequency response; Nonlinear filters; Radar applications; Radar clutter; Sonar;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.469851
Filename :
469851
Link To Document :
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