Title :
A nonlinear optimization algorithm for asymmetric FIR digital filters
Author :
Sullivan, J.L. ; Adams, J.W.
Author_Institution :
Dept. of Electr. & Comput. Eng., California State Univ., Northridge, CA, USA
fDate :
30 Apr-3 May 1995
Abstract :
An enhanced version of a previously presented nonlinear optimization algorithm is presented for designing asymmetric FIR digital filters. The asymmetric FIR filter design (AFFD) algorithm is based on the iterative use of the generalized multiple exchange (GME) algorithm. The enhanced version of the AFFD algorithm uses a line search of the nonlinear Lagrangian to determine the iteration step size. This greatly enhances the convergence properties of the AFFD algorithm. The AFFD algorithm can design optimal multiband filters that simultaneously meet specifications on the group delay and the magnitude of the frequency response
Keywords :
FIR filters; band-pass filters; circuit optimisation; convergence of numerical methods; delays; digital filters; frequency response; iterative methods; AFFD algorithm; asymmetric FIR digital filters; convergence properties; frequency response; generalized multiple exchange; group delay; iteration step size; line search; nonlinear Lagrangian; nonlinear optimization algorithm; optimal multiband filters; Algorithm design and analysis; Delay; Digital filters; Finite impulse response filter; Frequency response; Iterative algorithms; Linear programming; Passband; Quadratic programming; Radar;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.519902
