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利用小波包变换分析双模噪声的统计特性
引用本文:孙万麟. 利用小波包变换分析双模噪声的统计特性[J]. 电脑开发与应用, 2010, 23(7): 29-30
作者姓名:孙万麟
作者单位:昌吉学院物理系,新疆昌吉,831100
基金项目:昌吉学院科研基金资助项目 
摘    要:基于多尺度小波包变换良好的时频局部分析能力,对一类非高斯噪声——双模噪声的统计特性进行研究。理论分析和仿真表明,小波包检测系统不仅具有计算量小、算法比较简单和实时性较强的特点,而且实现了将非高斯噪声(双模噪声)转化为简单的高斯噪声来处理。

关 键 词:小波包变换  双模噪声  高斯噪声  统计

On the Basis of Wavelet Packet Transform Analysis Statistics of Bimodal Noise
Sun Wanlin. On the Basis of Wavelet Packet Transform Analysis Statistics of Bimodal Noise[J]. Computer Development & Applications, 2010, 23(7): 29-30
Authors:Sun Wanlin
Abstract:On the basis of time-frequency analysis capabilities of multi-scale wavelet packet transform,this paper studies statistics of one special of non-Gaussian noise-Bimodal Noise.Theoretical analysis and simulation results show that the wavelet packet inspection system not only has a small amount of calculation,the simple algorithm and the strong real-time characteristics,but also brings out turning non-Gaussian noise(Bimodal Noise)out to be easy Gaussian noise to deal with.
Keywords:wavelet packet transform  dual-mode noise  gaussian noise  statistics
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