lanczos

Finally check it out.

ProbShrink for color image denoising

we can find the pixel values through this document

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

Matlab与VC++的混合编程，利用Matlab强大的混图功能在VC画出想要的图形，操作步骤详细易学(Matlab and VC++ mixed programming, Matlab, mixed plan features a powerful draw the desired graphics in VC, the steps to learn more)

多传感器数据融合：将MATLAB语言应用到多传感器数据融合中，书中给出了大量的仿真实例(multisensor Data Fusion with matlab)

说明：  medical image denoising via multiscale product thresholding

说明：  关于码matlab的介绍，对于初学者来说能够很快了解matlab。(On the introduction of matlab code, for beginners to quickly understand the matlab.)

基于核的学习方法SVM(Support Vector Machine)有很好的分类识别性能，这是在SVM的基础上改进的一个更好的SKM(Support Kernel Machine)Package.(kernel-based learning methods SVM (Support Vector Machine) are good the classification performance, This is the SVM improved on the basis of a better SKM (Support Kernel Machi ne) Package.)

convolution implemented in gui