Please use this identifier to cite or link to this item: https://doi.org/10.1007/s00034-005-2502-8
Title: Hybrid genetic algorithm for the design of modified frequency-response masking filters in a discrete space
Authors: Cen, L.
Lian, Y. 
Issue Date: Apr-2006
Source: Cen, L.,Lian, Y. (2006-04). Hybrid genetic algorithm for the design of modified frequency-response masking filters in a discrete space. Circuits, Systems, and Signal Processing 25 (2) : 153-174. ScholarBank@NUS Repository. https://doi.org/10.1007/s00034-005-2502-8
Abstract: This paper presents the design of high-speed, arbitrarybandwidth sharp finite impulse response filters with signed powers-of-two coefficients based on a modified frequency-response masking (FRM) structure. A novel hybrid genetic algorithm (HGA) is proposed to jointly optimize all subfilters in a discrete space. The proposed HGA introduces the simulated annealing technique into the genetic algorithm (GA) optimization process and effectively prevents the GA from prematurely converging. It is shown, by means of examples, that FRM filters designed by the HGA achieve a significant reductionin the number of bits. © Birkhauser Boston 2006.
Source Title: Circuits, Systems, and Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/56228
ISSN: 0278081X
DOI: 10.1007/s00034-005-2502-8
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

16
checked on Dec 13, 2017

WEB OF SCIENCETM
Citations

11
checked on Nov 4, 2017

Page view(s)

33
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.