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The Iterarive Blind Deconvolution with wavelet denoising  

Kwon, Kee-Hong (Division of IT, Taegu polytechnic college)
Publication Information
Journal of the Institute of Electronics Engineers of Korea TE / v.39, no.3, 2002 , pp. 15-20 More about this Journal
Abstract
In this paper, the method of processing a blurred noisy signal has been researched. The conventional method of processing signal has faults, which are slow-convergence speed and long time-consuming process at the singular point and/or in the ill condition. There is the process, the Gauss-Seidel's method to remove these faults, but it takes too much time because it processes signal repeatedly. For overcoming the faults, this paper shows a signal process method which takes shorter than the Gauss-Seidel's by comparing the Gauss-Seidel's with proposed algorithm and accelerating convergence speed at the singular point and/or in the ill condition. 
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