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《Acta Electronica Sinica》 2017-08
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A Method for Analysis of Non-linear and Non-stationary Spectrum Occupancy Time Series

WEI Hong-hao;JIA Yun-feng;School of Electronics and Information Engineering,Beihang University;  
In order to analyze the non-linear and non-stationary spectrum occupancy time series which cannot be directly analyzed base on traditional time series method,a novel prediction modelling method of spectrum occupancy time series based on ensemble empirical mode decomposition( EEMD) and Artificial Neural Network( ANN) is proposed. Firstly,the spectrum occupancy time series is decomposed into serval intrinsic model function( IMF) so as to make every component stationary. Then in viewof the stationary time series,a prediction ANN model is established correspondingly for each IMF. Simulative experiment for practical measured data shows that the proposed method has higher precision in comparison with other methods,i. e.,effective to non-linear and ono-stationary complicated spectrum occupancy time series prediction.
【Fund】: 国家自然科学基金(No.61371007)
【CateGory Index】: TN98;TP183
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