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suijixihao

于 2011-12-14 发布 文件大小:1KB
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  谱估计法分析随机信号,并对其进行傅里叶变换(Spectral analysis is a tool for signal analysis. Power spectrum estimation is based on limited data looking for signals, the frequency of random process or system components. It said random signal frequency-domain statistical characteristics, there is a clear physical meaning, is an important signal processing research content. Of random signals in the frequency domain, power distribution, that is the power spectral density or power spectrum. Power spectrum estimation has been widely used.)

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    这里主要对LMS算法及一些改进的LMS算法(NLMS算法、变步长LMS算法、变换域LMS算法)之间的不同点进行了比较,在传统的LMS算法的基础上发展了LMS算法的应用。另一方面又从RLS算法的分析中对其与LMS算法的不同特性进行了比较,很值得研究!(The key players here and some of the LMS algorithm is an improved LMS algorithm (NLMS algorithm, variable step size LMS algorithm, transform domain LMS algorithm) the differences between the points of comparison, in the traditional LMS algorithm is developed on the basis of the LMS algorithm applications. On the other hand and from the analysis of RLS algorithm and LMS algorithm for its different characteristics were compared, it is worth studying!)
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