2010
DOI: 10.4028/www.scientific.net/amm.34-35.1901
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A Study on the De-Noising of the Passive Sonar in Underwater Robot Based on the Gabor

Abstract: This paper focuses on the research of the de-noising of the passive sonar based on the Gabor. Based on the modeling and simulating of the underwater robot about ship radiated noise, this paper analyzes and compares the effect of de-noising of the passive sonar of ship radiated noise. It is shown that better de-noising effect are achieved by using the Gabor method. This method have a significant foreground in de-noising of passive sonar.

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“…In order to compare the noise reduction effect with different threshold, according to the variation of variance of the noised and de-noised signal, the SNR is computed. According to the definition of the traditional SNR [5], the SNR between original series x 1 , x 2 ,…, x n and de-noised series y 1 , y 2 ,…, y n is 20log(a y /a x-y ), where a y and a x-y are the variance of denoised series and noise series, respectively. The SNR results de-noised with different threshold is shown as Table 1.…”
Section: Proceedings Of 2008 Ieee International Symposium On It In Mementioning
confidence: 99%
“…In order to compare the noise reduction effect with different threshold, according to the variation of variance of the noised and de-noised signal, the SNR is computed. According to the definition of the traditional SNR [5], the SNR between original series x 1 , x 2 ,…, x n and de-noised series y 1 , y 2 ,…, y n is 20log(a y /a x-y ), where a y and a x-y are the variance of denoised series and noise series, respectively. The SNR results de-noised with different threshold is shown as Table 1.…”
Section: Proceedings Of 2008 Ieee International Symposium On It In Mementioning
confidence: 99%