m_files

在MATLAB中，信号S经过信道H卷积后生成接收信号V，V＝conv(S,H),从V和H反卷积(In MATLAB, the signal S after convolution H channel generated receive signal V, V = conv (S, H), from V and H deconvolution)

用kfcm算法实现数据的聚类和分类效果。(Kfcm algorithm is used to achieve data clustering and classification results.)

能够用 matlab确定模最大值，利用小波变换去噪，对地震信号进行处理(The maximum modulus can be determined by MATLAB, and the seismic signal is processed by wavelet transform denoising.)

灰度图像简单的去噪方法；MATLAB实现模板操作的方法；空域滤波中常用的平滑滤波器；利用MATLAB程序进行图像去噪。(Simple grayscale image denoising)

盲信号分离应用的图像盲分离的资料，给出了事例以及部分源码(Blind Signal Separation Application Blind Image Separation of information, and gives examples of some of the FOSS)

可以使用贝叶斯阈值估计来对噪声进行处理，效果很明显，可以使用(Bayesian threshold estimation can be used to deal with noise, the effect is obvious, you can use)

visual c++ 工具 c语言 实现的灰度共生矩阵。(visual c++ tool c language GLCM.)

一个散焦模糊自动复原的算法，自动估计散焦半径，在频率域识别参数，并用最小二乘滤波复原(A defocus blur automatic recovery algorithm automatically estimated defocus radius, in the frequency domain identification parameters, and by the least squares filter restoration )

本程序集合了互信息配准，PV差值，powell算法，基于小波变换的图像融合的一整套算法。只需要在GUI界面输入两幅图像，即可自动完成图像的配准融合。程序包含Matlab源代码。用Matlab打开imagefusion.m，即会弹出gui界面。融合前要输入参考和浮动图像。图像要求像素的 长＊宽 一样。否则会报错。程序只能处理灰度图像，彩色图像也会转化成灰度图像处理。程序代码已经有详细的注释，方便读者理解。(The procedures set of mutual information, PV difference, powell algorithm, based on wavelet transform image fusion set of algorithms. Only need to enter the two images in the GUI interface, you can automatically complete the image registration fusion. Program contains Matlab source code. Using Matlab open imagefusion.m, gui interface will pop up. Fusion before the input reference and floating images. Image requires the same pixel length* width. Otherwise incorrect. Can only handle grayscale images, color images into gray image processing also. Program code has detailed notes, to facilitate understanding.)

可评价影像融合质量，信息熵、标准差、相关系数等(Evaluable image fusion quality, information entropy, etc.)