Journal of Signal Processing
Online ISSN : 1880-1013
Print ISSN : 1342-6230
ISSN-L : 1342-6230
Blind Deconvolution Algorithm Using Observation Signal Including Noise
Tomomi OgawaHiroki Matsumoto
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2016 Volume 20 Issue 3 Pages 105-112

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Abstract
We propose a new blind deconvolution algorithm taking both input and output noise into consideration. Already we have proposed a blind identification method based on a model including input and output noise. An algorithm of deconvolution, however, was not proposed. In this paper, we propose a blind deconvolution algorithm based on a model including input and output noise. The performance of the proposed deconvolution algorithm is evaluated by computer simulations.
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© 2016 Research Institute of Signal Processing, Japan
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