fem_prob

past when the sample data was collected, the future predictions can also be expected to be right. Application of machine learning methods to large databases is called data mining. The analogy is that a large volume of earth and raw material is extracted from a mine, which when processed leads to a small amount of very precious material similarly in data mining, a large volume of data is processed to construct a simple model with valuable use, for example

This file containing a source code for Frequency Hopping Spread Spectrum in Matlab. Also this file has some guide files.

使用GWR方法进行数值反演的MATLAB源代码(GWR method using numerical inversion MATLAB source code)

最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. (The newest work tools of svm,it will be very convenient to have it.)

Gardner 方法时间同步，时间同步非常重要的方法(Gardner way for time-sychronizing)

step response in RC filter

char recognition with cnn

说明：  给定一幅图象，输出其直方图； 通过对话框给定一个线性变换函数，实现图象的灰度拉伸； 实现对图象的均衡化。 (Given an image, the output of its histogram dialog given by a linear transformation function to realize the gray scale image stretching to achieve the equalization of image.)

该实例主要功能： 1、演示了GUI界面的布局和效果； 2、演示了togglebutton、pushbutton对simulink模块参数的设置方法； 3、演示了Edit text 和slider的联合使用，及利用edit text 和slider 对simulink 参数的动态修改； 4、演示了simulink参数在GUI上的显示和更显； 5、语句进行了注释，为便于编译没用中文，大家凑或者看吧！(The main functions of examples: 1, presentation of the layout of the GUI interface and effectiveness 2, demonstrated togglebutton, pushbutton module to simulink Ways parameters 3, Edit text and to demonstrate the joint use of slider, and the use of the slider and edit text simulink dynamic parameters modified 4, demonstrated on simulink parameter GUI at the display and more 5, statement to the Notes, in order to facilitate the compiler no English, or U.S. Check it out together!)

在经典波达角估计方法多重信号分类算法中提出了改进(Angle of arrival estimation method in the classical Multiple Signal Classification algorithm in the proposed improvements)