Title :
New approaches to constrained optimization of digital filters
Author :
Adams, J.W. ; Sullivan, J.L. ; Hashemi, R. ; Ghadimi, C. ; Franklin, J. ; Tucker, B.
Author_Institution :
Dept. of Electr. & Comput. Eng., California State Univ., Northridge, CA, USA
Abstract :
Two algorithms are presented for the design of constrained least-squares digital filters. They can bound the error according to user specifications while also minimizing the total weighted squared error (TWSE). Although the two algorithms are very different internally, they produce very similar results. One algorithm produces nearly optimal solutions, and the other algorithm produces solutions that are guaranteed to be optimal by the Kuhn-Tucker theorem
Keywords :
FIR filters; circuit optimisation; digital filters; least squares approximations; Kuhn-Tucker theorem; constrained optimization; least-squares digital filters; nearly optimal solutions; total weighted squared error; Algorithm design and analysis; Computer errors; Computer science; Constraint optimization; Design engineering; Digital filters; Finite impulse response filter; Frequency; Minimax techniques; Passband;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.393662
