Title :
Peak-constrained least-squares IIR digital filters using recursive quadratic programming
Author :
Sullivan, J.L. ; Adams, J.W. ; Roosta, R.
Author_Institution :
Dept. of Electr. & Comput. Eng., California State Univ., Northridge, CA, USA
fDate :
Oct. 30 1995-Nov. 1 1995
Abstract :
We presented a new weighted least-squares algorithm that can design peak-constrained least-squares IIR digital filters at the IEEE Asilomar Conference on Signals, Systems and Computers, p.349-52 (1994). In this paper we present a new recursive quadratic programming algorithm for designing peak-constrained least-squares IIR digital filters. The new algorithm is better than Deczky´s (1972) well-known IIR filter design algorithm because it can simultaneously optimize the peak error and the total squared error.
Keywords :
IIR filters; IIR digital filters; design algorithm; peak-constrained least-squares filters; recursive quadratic programming; weighted least-squares algorithm; Algorithm design and analysis; Constraint optimization; Digital filters; Finite impulse response filter; Frequency response; IIR filters; Minimax techniques; Nonlinear equations; Passband; Quadratic programming;
Conference_Titel :
Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7370-2
DOI :
10.1109/ACSSC.1995.540846
