The power spectrum estimation of signal based on neural networks - 文章详情页

作者：

Sun, Guang-Min (Sun, Guang-Min.) (学者：孙光民) | Liu, Wei (Liu, Wei.) | Yan, Hai-Tao (Yan, Hai-Tao.) | Zhang, Fan (Zhang, Fan.) | Ma, Hao-Cong (Ma, Hao-Cong.)

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摘要：

In　this　paper,　in　order　to　extract　the　needed　information　from　Wireless　Signal　Detector,　some　different　frequently–used　methods　and　the　related　parameter　estimation　algorithms　are　compared.　Besides,　a　new　method　is　proposed　based　on　signal　spectrum　estimation　of　neutral　net　which　was　used　to　compute　signal　power　spectrum　estimation.　By　simulating　the　practical　data　on　MATLAB,　the　factor　of　neural　network　can　be　trained　to　extract　the　signal　spectrum.　The　velocity　of　spectrum　estimation　is　far　better　than　some　other　algorithm　of　AR　model　spectrum　estimation　method　when　using　proposed　method,　and　spectral　estimation　quality　consistent.　©　2014　Springer　International　Publishing　Switzerland.　All　rights　reserved.

关键词：

Data handling Information analysis Neural networks Power spectrum Signal analysis Spectrum analysis

作者机构：

[ 1 ] [Sun, Guang-Min]Department of Electronic Engineering, Beijing University of Technology, Beijing, China
[ 2 ] [Liu, Wei]Department of Electronic Engineering, Beijing University of Technology, Beijing, China
[ 3 ] [Yan, Hai-Tao]Department of Electronic Engineering, Beijing University of Technology, Beijing, China
[ 4 ] [Zhang, Fan]Department of Electronic Engineering, Beijing University of Technology, Beijing, China
[ 5 ] [Ma, Hao-Cong]Department of Electronic Engineering, Beijing University of Technology, Beijing, China

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