seg22

此程序能够实现基于小波变幻的图像的平滑处理。(the program can implement smoothly process of wavelet-based transformed image )

说明：  用MATLAB编程实现实现滤波，与数字信号处理相关(Implementing filtering)

本程序有去除脉搏波基线漂移、工频干扰和肌电干扰等功能(pulse wave )

降水小波分析 用于分析降水序列的周期变化规律(Wavelet analysis of rainfall series for the analysis of the cycle variation of precipitation)

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.)

使用wavelet 將影像分解 再利用threshold方法去雜訊(use wavelet to denoised in a picture)

说明：  本程序是卡尔曼滤波的源程序包，请大家分享.(Kalman filtering of the source packet, please share.)

连续小波变换处理数字图像，分解，去噪，重构信号(Continuous wavelet transform digital image processing, decomposition, denoising, reconstruction of the signal)

详细的基于离散小波变换的图像融合matlab程序,可以用于处理任何格式的灰度图像(Detailed based on discrete wavelet transform image fusion matlab procedures, can be used to deal with any format of the gray image)

计算小波时间熵的源程序，内容详尽，调试正确，非常有用。计算小波时间熵的源程序，内容详尽，调试正确，非常有用。(Calculate the entropy of the source wavelet time, detailed, debugging is correct, very useful. Calculate the entropy of the source wavelet time, detailed, debugging is correct, very useful.)