Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/95838
Title: Automated parameter optimization for double frequency modulation synthesis using a tree evolution algorithm
Authors: Tan, B.T.G. 
Liu, N.
Issue Date: Jun-2003
Source: Tan, B.T.G.,Liu, N. (2003-06). Automated parameter optimization for double frequency modulation synthesis using a tree evolution algorithm. AES: Journal of the Audio Engineering Society 51 (6) : 534-546. ScholarBank@NUS Repository.
Abstract: A new algorithm, the tree evolution algorithm (TEA), is proposed for parameter optimization of FM and related synthesis techniques. The algorithm explores each local minimum separately in a complex solution space, with its search algorithm forming a tree structure. It is shown that the algorithm, which is based on the genetic annealing algorithm (GAA), is more accurate and more stable than GAA in estimating the optimum parameters for double frequency modulation (DFM) synthesis.
Source Title: AES: Journal of the Audio Engineering Society
URI: http://scholarbank.nus.edu.sg/handle/10635/95838
ISSN: 00047554
Appears in Collections:Staff Publications

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