Title :
An effective allocation of non-zero digits for CSD coefficient FIR filters using 0–1PSO
Author :
Imaizumi, Tomohito ; Suyama, Koichi
Author_Institution :
Sch. of Eng., Tokyo Denki Univ., Tokyo, Japan
fDate :
Oct. 29 2013-Nov. 1 2013
Abstract :
In this paper, a novel method for effective allocation of non-zero digits in design of CSD (Canonic Signed Digit) coefficient FIR (Finite Impulse Response) filters is proposed. The design problem can be formulated as a mixed integer linear programming problem, which is well-known as a NP-hard problem. Recently, a heuristic approach using the PSO (Particle Swarm Optimization) for solving the problem has been proposed, in which the maximum number of non-zero digits is limited in each coefficient. On the other hand, the maximum number of non-zero digits is limited in total in the proposed method and the 0-1PSO is applied. It enables an effective allocation of nonzero digits and provides a good design. Several examples are shown to present an efficiency of the proposed method.
Keywords :
FIR filters; integer programming; linear programming; particle swarm optimisation; CSD coefficient FIR filters; NP hard problem; PSO; canonic signed digit coefficient; finite impulse response filters; mixed integer linear programming problem; nonzero digits; particle swarm optimization; Finite impulse response filters; Indexes; Linear programming; Particle swarm optimization; Passband; Resource management; Vectors;
Conference_Titel :
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2013 Asia-Pacific
Conference_Location :
Kaohsiung
DOI :
10.1109/APSIPA.2013.6694193