Title :
An iterative reweighted least squares algorithm for constrained design of nonlinear phase FIR filters
Author :
Lang, Mathias C.
Author_Institution :
Inst. fur Nachrichtentech. und Hochfrequenztech., Tech. Univ. Wien, Austria
fDate :
31 May-3 Jun 1998
Abstract :
This paper proposes an iterative reweighted least squares algorithm for constrained designs of FIR filters with arbitrary magnitude and phase responses. The filters are optimum according to a complex constrained least squares or a complex constrained Chebyshev criterion. It is possible to mix the design criteria and different criteria can be used in different frequency bands. The algorithm is computationally efficient and numerically robust. The memory requirement is low because no matrices have to be stored
Keywords :
Chebyshev approximation; FIR filters; digital filters; filtering theory; frequency-domain synthesis; iterative methods; least squares approximations; nonlinear filters; complex constrained Chebyshev criterion; complex constrained least squares criterion; constrained design; design criteria; iterative reweighted LS algorithm; least squares algorithm; nonlinear phase FIR filters; Algorithm design and analysis; Chebyshev approximation; Design methodology; Finite impulse response filter; Frequency response; Iterative algorithms; Least squares approximation; Least squares methods; Passband; Signal design;
Conference_Titel :
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-4455-3
DOI :
10.1109/ISCAS.1998.694494
