Title :
Least p-power error design of FIR filters
Author :
Burrus, C.S. ; Barreto, J.A.
Author_Institution :
ECE Dept., Rice Univ., Houston, TX, USA
Abstract :
The authors examine various iterative reweighted least squared error algorithms to obtain an Lp approximation for designing a linear phase FIR (finite impulse response) filter. These methods consider 1⩽p⩽∞ as being interesting themselves or as compromises between the traditional least squared error and Chebyshev designs. Convergence is the main problem in applying this approach. The authors give one new method to control convergence and a new generalization of the Rice-Lawson method. They also use these methods to give designs with different p in different frequency bands
Keywords :
convergence; digital filters; filtering and prediction theory; frequency response; FIR filters; Lp approximation; Rice-Lawson method; convergence; finite impulse response; iterative reweighted; least p-power error design; least squared error algorithms; linear phase; Algorithm design and analysis; Chebyshev approximation; Convergence; Design methodology; Equations; Finite impulse response filter; Frequency measurement; Frequency response; Iterative algorithms; Iterative methods;
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
DOI :
10.1109/ISCAS.1992.230134