基于小波包變換的非高斯噪聲信號(hào)結(jié)構(gòu)分析
The Signal Structure Analysis of Non-Gaussian Noise Based on Wavelet Packet Transform
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摘要: 該文利用小波包變換的時(shí)頻局部分析能力,研究了非高斯分布平穩(wěn)隨機(jī)噪聲的統(tǒng)計(jì)特性,揭示了 非高斯噪聲信號(hào)的信號(hào)結(jié)構(gòu)。在此基礎(chǔ)上,將經(jīng)典最優(yōu)檢測(cè)器的結(jié)論推廣到背景噪聲為非高斯分布的情況, 提出了一種基于小波包變換的非高斯噪聲下的信號(hào)檢測(cè)方法。仿真實(shí)驗(yàn)驗(yàn)證了該方法是正確的。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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