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基于小波包变换的双模噪声中信号的检测

The Signal Detection in Bimodal Noise Based on Wavelet Packet Transform
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摘要 以一类非高斯噪声———双模噪声为背景噪声,利用小波包变换良好的时频分析能力,对双模噪声的统计特性进行了研究,在此基础上,将经典最优检测器的结论推广到背景噪声为双模噪声的情况,提出了基于小波包变换的双模噪声中信号的检测方法。他是对传统的双模噪声中信号处理的完善与补充,仿真结果表明,该方法要明显优于经典检测。 By exploiting wavelet packet transform to analyze signals both in time and frequency space, this paper researches the statistic property of one special non- Gaussian noise- bimodal noise, the results of classic optimum detector are extended to the condition where the distribution is of background noise is bimodal noise, then a signal detection algorithm in bimodal noise is given. It is perfection and complement to the classic signal processing based on bimodal noise. The simulated result justifies this method.
出处 《现代电子技术》 2006年第21期11-13,共3页 Modern Electronics Technique
关键词 双模噪声 小波包变换 信号检测 非高斯 bimodal noise wavelet packet transform detection of signal non- Gaussian
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