Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/95839
Title: Automated parameter optimization for double frequency modulation synthesis using the genetic annealing algorithm
Authors: Tan, B.T.G. 
Lim, S.M.
Issue Date: Jan-1996
Citation: Tan, B.T.G.,Lim, S.M. (1996-01). Automated parameter optimization for double frequency modulation synthesis using the genetic annealing algorithm. AES: Journal of the Audio Engineering Society 44 (1-2) : 3-15. ScholarBank@NUS Repository.
Abstract: A combinatorial optimization algorithm, called the genetic annealing algorithm, is proposed, which incorporates the principles of simulated annealing into the genetic algorithm, for the estimation of the parameters for double frequency modulation (DFM) synthesis, which is a tedious process by the usual trial-and-error method. It is also shown that the algorithm is more effective than the genetic algorithm in estimating the DFM parameters for all the authors' samples.
Source Title: AES: Journal of the Audio Engineering Society
URI: http://scholarbank.nus.edu.sg/handle/10635/95839
ISSN: 00047554
Appears in Collections:Staff Publications

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

Page view(s)

30
checked on Sep 21, 2018

Google ScholarTM

Check


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