MATLAB_Demystified-[Sality]

混沌时间序列求嵌入维(embedding dimension)Cao方法(Chaotic time series seeking embedding dimension (embedding dimension) Cao method)

遗传算法matlab程序，matlan遗传算法工具箱，放在工作目录即可使用。(matlab gatool)

noise cancelation using matlab, select your audio file

Twelve pulse converter for a single cycle of input twelve pulse will be available in output... simulation circuits..

说明：  案例为利用最有控制原理，实现对机械手转台的最优控制。运用matlab，以及simulink仿真实现。(Case for the use of the most control theory, to achieve optimal control of robotic turntable. Use matlab, simulink simulation, and implementation.)

基于MATLAB的TCM编译码器的代码,包括Binary.m Decoder.m Demodulation.m Error_Pb.m Eu_distance.m Eu_distance.m。。等(MATLAB codec code based on TCM)

数字地面电视 PN420生成仿真 数字地面电视 PN420生成仿真(DTMB PN420 generation DTMB PN420 generation )

这是无线通信中两径模型的源代码，比较了不同增益对接收功率的影响，能直接运行。(This is a two-path model in wireless communications source code, compare the effects of different gain on the received power can be run directly.)

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

this brogram to sum to number and show the result to the user