提出基于DWT-EEMD的盲源算法,利用DWT,EEMD和盲源分离的优良特性,在进行DWT和EEMD处理之后再进行盲源分离以消除噪声.该方法主要优势在于DWT-EEMD模型的采用和自适应权重因子的引入,在降低独立分量分析算法对恢复信号的幅值的不确定性的同时,使得在工频干扰噪声的幅值高于原始信号很多的情况下依然能较好地分离出原始信号....
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The results suggested that the key wavelengths selected by using CARS-SPA and EEMD-DWT could be an alternative to the deal with HSI, and its potential to become a method for identifying grape varieties. PRACTICAL APPLICATION: Traditional grape varieties identification methods are destructive and time...
In order to achieve this in terms of the concerned work, wavelet transforms have been applied: Discrete wavelet transform and EEMD. In this thesis, a new technique which is combination of Enhanced Empirical Mode Decomposition (EEMD), has been presented along with the standard wavelet thresholding ...
A comprehensive performance analysis of EEMD-BLMS and DWT-NN hybrid algorithms for ECG denoising[J] . Kevin K?rgaard,S?ren Hj?llund Jensen,Sadasivan Puthusserypady.Biomedical Signal Processing and Control . 2016Kaergaard K, Jensen S H, Puthusserypady S. A comprehensive performance analysis ...