Title :
Fast algorithm for constrained least squares FIR filter design
Author :
Davila, Jorge ; Griswold, N.C.
Author_Institution :
Digital Signal Process. Lab., Texas A&M Univ., College Station, TX, USA
Abstract :
Previously, a new algorithm for weighted least squares linear-phase FIR filter design has been presented. In this paper, we show how to combine this new algorithm with a well-known algorithm used to solve quadratic programming problems. This combination results in a faster method for constrained least squares FIR filter design. The proposed algorithm is numerically stable and suitable for high order filter design
Keywords :
FIR filters; digital filters; least squares approximations; linear phase filters; network synthesis; numerical stability; quadratic programming; constrained least squares FIR filter design; fast algorithm; filter coefficients; high order filter design; numerically stable algorithm; orthogonal cosine basis; quadratic programming; weighted least squares linear-phase filter; Algorithm design and analysis; Digital signal processing; Equations; Finite impulse response filter; Frequency response; Least squares methods; Quadratic programming; Signal design; Signal processing algorithms; Symmetric matrices;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.894467
