대한전자공학회논문지TE (Journal of the Institute of Electronics Engineers of Korea TE)

대한전자공학회 (The Institute of Electronics and Information Engineers)
권호 표지

Wavelet denoising 알고리즘이 적용된 반복 Blind Deconvolution 알고리즘

The Iterarive Blind Deconvolution with wavelet denoising

  • 권기홍 (大邱産業情報大學 情報通信系列)
  • 발행 : 2002.09.01
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초록

본 논문에서 훼손된 신호를 복원하는 방법에 대해서 연구하였다. 기존의 처리방법은 특이점이나 악조건일 경우 수렴속도가 늦어진다는 점과 처리시간이 많이 소요되는 단점이 있다. 이러한 단점을 보완하기 위해 Gauss-Seidel 방법으로 처리하는 방법이 있으나 이러한 경우 신호를 반복해서 처리해야 하므로 처리시간이 많이 소요된다. 이러한 단점(수렴속도, 전체처리시간)을 개선하기 위하여 본 논문에서는 기존의 신호처리(Gauss-Seidel)와 제안된 알고리즘을 적용시켜 비교하여 봄으로써 특이점 혹은 악조건일 경우에도 수렴속도를 고속화 하여 기존의 Gauss-Seidel 신호처리방법보다 처리시간을 단축할 수 있는 신호 처리 방법을 제시하였다.

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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참고문헌

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