Fixed-Order optimal deconvolution filter with irregular missing data

University of Taipei > 理學院 > 資訊科學系 > 期刊論文 > Item 987654321/15782

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題名:	Fixed-Order optimal deconvolution filter with irregular missing data
作者:	Hung, Jui-Chung;洪瑞鍾
貢獻者:	臺北市立教育大學資訊科學系
關鍵詞:	deconvolution filter;genetic algorithm;irregular missing data
日期:	2010-06-16
上傳時間:	2017-07-24 11:28:06 (UTC+8)
摘要:	In general, the reconstruction performance of the conventional deconvolution filter is deteriorated by the missing data. In this paper, a fixed-order deconvolution filter design method is proposed for the signal reconstruction from received signal with irregular missing data. The missing data model is based on a probabilistic structure. The probability of occurrence of missing data is unknown a prior. In this situation, the deconvolution filter design problem becomes a complicated nonlinear estimation problem. In this study, a design method based on genetic algorithms is proposed to treat the signal reconstruction design problem with irregular missing data. Finally, two examples are given to illustrate the simulation results of the proposed deconvolution filter. The results show that the reconstruction performance is improved significantly if the missing probability is considered in the deconvolution filter design procedure
關聯:	International Journal of Adaptive Control and Signal Processing，p311-321
顯示於類別:	[資訊科學系] 期刊論文

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