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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28558

Title: New restoration filter for signals distorted by random impulse response function and noise
Authors: Hsien-Sen Hung
Contributors: NTOU:Department of Electrical Engineering
Keywords: signal restoration;transient response;statistical analysis;optical noise;spatial filters;filtering theory;least squares approximations
Date: 1997-05-01
Issue Date: 2011-10-21T02:38:06Z
Publisher: Optical Engineering
Abstract: Abstract:A new restoration filter is proposed for the restoration of signals distorted by a random impulse response function and additive measurement noise. The filter is derived from the theory of constrained total least squares, an extension of total least squares to the case where linear constraints with additive random components are incorporated into the measurement model. This enables the incorporation of prior information about the original signal, expressed in the form of linear constraints such as smoothness and region of support. Furthermore, the filter does not require knowledge of the second-order statistics of the random impulse response function and noise. Simulation results are provided to demonstrate the effectiveness of the proposed filter.
Relation: 36(5) pp.1452-1457
URI: http://ntour.ntou.edu.tw/handle/987654321/28558
Appears in Collections:[電機工程學系] 期刊論文

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