Bidimensional empirical module decomposition

二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快\calcu_coef.m.txt
二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快\cal_triarea.m.txt
二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快\findextm.m.txt
二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快\p2tri.m.txt
二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快\pickrc.m.txt
二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快\scaledist.m.txt
二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快\sift_bicubic.m.txt
二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快\smooth_bicc.m.txt
二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快\smooth_rbf0.m.txt
二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快\TwoD_EMD.m.txt
二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快\valu_m.m.txt
二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快

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