Simulated annealing algorithm for ill-posed or ill-conditioning deconvolution problem  

作　　者：WANG Yingmin MA Yuanliang LIU Jianmin and Philip R. Atkins (Institute of Acoustic Engineering, Northwestern Polytechnical University Xi’an 710072) (School of Electronic & Electrical Engineering The University of Birnimgham, Birmingham B15 2TT, U.K.) 

出　　处：《Chinese Journal of Acoustics》1996年第2期141-151,共11页声学学报（英文版）

摘　　要：A simulated annealing deconvolution technique dealing with the ill-posed and ill-Conditioning problems is presented. Following a survey about direct and iterative deconvolution techniques, the simulated annealing approach for ill-posed and ill-conditioning decon volution is introduced. With comparison to some deconvolution techniques the new approach is described in details. A specific ill-posed and ill-Conditioning deconvolution example is consid ered and the deconvolution results using the simulated annealing approach and some conventional techniques such as clipped inverse filtering, reblurring, multiple-operator, constrained iteration, etc., are given. It has shown that the simulated annealing approach fights against the ill-posed and ill-conditioning successfully.A simulated annealing deconvolution technique dealing with the ill-posed and ill-Conditioning problems is presented. Following a survey about direct and iterative deconvolution techniques, the simulated annealing approach for ill-posed and ill-conditioning decon volution is introduced. With comparison to some deconvolution techniques the new approach is described in details. A specific ill-posed and ill-Conditioning deconvolution example is consid ered and the deconvolution results using the simulated annealing approach and some conventional techniques such as clipped inverse filtering, reblurring, multiple-operator, constrained iteration, etc., are given. It has shown that the simulated annealing approach fights against the ill-posed and ill-conditioning successfully.

关 键 词：Annealing algorithm DECONVOLUTION 

分 类 号：O429[理学—声学]