MATLAB2

NormThresh of wavelet coefficient

说明：  个比较经典的二维经验模式分解程序代码，适用于图像分解，加油(Comparison the classical two-dimensional empirical mode decomposition code for the image decomposition, refueling)

用于进行小波变换，对原始的光谱图像数据进行预处理(Used wavelet transform, the original spectral image data preprocessing)

小波变换的例子， 小波变换的例子， 小波变换的例子， 小波变换的例子，(wavelet transform example, wavelet transform example, Wavelet Transform example, wavelet tra nsform example,)

近10种matlab基于小波变换的图像处理程序！ （M文件）(nearly 10 species of Matlab based on wavelet transform image processing procedures. (M))

说明：  提出了一种结合SVD的小波变换方法，对其在外弹道测量数据中的野值剔除进行了研究。对观测数据进行小波分解，将小波分解后的近似分量和细节分量组合实现相空间重构，作为SVD方法的输入观测矩阵，根据奇异 熵增量准则，对奇异值进行筛选，根据SVD逆变换重构原信号。这一方法克服了Hankel矩阵相空间构建方法数据 端点失真问题。以小波分解后分量重构的相空间可以满足正交性，进一步提高了SVD进行数据降噪和野值检测的精度。仿真数据和试验数据处理结果证明了这一方法的有效性。(Proposed a method of combining the SVD wavelet transform its outer ballistic measurement data in excluding outliers were studied. Observational data on wavelet decomposition, wavelet decomposition of the approximate combined component and detail component to achieve the phase space reconstruction, as the input observation matrix SVD method, based on singular entropy increment standards, singular value filter, according to the inverse transform heavy SVD structure of the original signal. This approach overcomes the Hankel matrix phase space construction method data endpoint distortion. Wavelet decomposition component of reconstruction phase space satisfy orthogonality, to further improve the SVD for data noise reduction and outlier detection accuracy. Simulation data and experimental data processing results prove the effectiveness of this approach.)

快速傅里叶变换，fft，ourrafft master(Fast Fourier Transform Algorithm)

说明：  计算小波分解后的能量及小波熵。里面还有OFDM信号和WPM信号的程序。(After calculating the energy of wavelet decomposition and wavelet entropy. There is also OFDM signal and the WPM signal process.)

一个基于小波阈值的信号处理程序，通过自适应阈值方式抑制信号噪声(A threshold based on wavelet signal processing procedures, through the adaptive threshold signal noise suppression methods)

single level ,two level, multi level dwt for the denoising