DocumentCode
2884208
Title
2-D genetic optimizer algorithm and its application in digital signal processing
Author
Feipeng, Li ; Weixiong, Cheng ; Yilin, Chang
Author_Institution
Research Lab., Xidian Univ., Xi´´an, China
fYear
1991
fDate
16-17 Jun 1991
Firstpage
120
Abstract
Searching a global optimum point in a multimodal performance surface is unavoidable in many DSP applications and, in these cases, the algorithms based on gradient estimation such as the method of steepest decent are unsuitable. To overcome this problem, a random search algorithm called 2-D genetic optimizer algorithm (2-D GOA) is developed in this paper. In addition, to illustrate the advantage of 2-D GOA, an application of this algorithm in sequence image coding is given also
Keywords
computerised picture processing; computerised signal processing; encoding; genetic algorithms; 2D genetic optimiser algorithm; DSP applications; digital signal processing; global optimum point; multimodal performance surface; random search algorithm; sequence image coding; Digital images; Digital signal processing; Genetics; Image coding; Image storage; Radar signal processing; Signal processing; Signal processing algorithms; Speech processing; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location
Shenzhen
Type
conf
DOI
10.1109/CICCAS.1991.184297
Filename
184297
Link To Document