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Algorithm of Signal Reconstruction from Modulus Maximum of Signal′s Wavelet Transform Based on Radial Basis Function (RBF) Network

WANG Jin gen,GONG Shen guang,WU Zheng guo,TANG Jin fei (Naval University of Engineering,Wuhan 430033,China)  
Based on the principle of alternative projection,the paper presents an algorithm of signal reconstruction from modulus maximum of signal's wavelet transform based on radial basis function (RBF) network.The algorithm accelerates convergence and improves reconstruction precision by taking advantage of RBF network's good linear property which occurs while the width of the basis function is very large.The algorithm can not only reconstruct signal's edges very well,but also recover signal's climax precisely.A lot of simulation experiments show that the algorithm is also effective to different kinds of signals and has characteristics of both fast convergence and high precision.
【CateGory Index】: TN911
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