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| The Signal Structure Analysis of Non-Gaussian Noise Based on Wavelet Packet Transform |
| Xiang Qian; Lin Chun-sheng; Gong Shen-guang |
| The Fourth Postgraduate Team Naval Univ. of Eng.,Wuhan 430033 China |
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Abstract By exploiting wavelet packet transform to analyze signals both in time and frequency space, this paper researches the statistic property of non-Gaussian stationary noise and its signal structure. The results of classic optimum detector arc extended to the condition where the distribution of background noise is non-Gaussian and a new signal detection algorithm in non-Gaussian background noise is given. The simulated result justifies this method.
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Received: 23 September 2002
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2004, Vol. 26 
