UsingMATLABtoDevelopandDeployFinancialModels_ics_

MATLAB 操作命令，包括系统的运行命令和运算处理等操作的命令，非常方便编程调试时候快速的查找(MATLAB commands, including the operating system and order processing operations in order to operate, Programming Debugging is very convenient when you fast)

用香农编码计算概率分布，信息论与编码实验内容。(The Shannon coding probability distribution, information theory and coding experiment content.)

毕业设计做的...用LBG算法实现矢量量化的算法法..matlab ，经测试可直接使用。 (Graduation design ... vector quantization algorithm method using the LBG algorithm .. Matlab, has been tested and can be used directly.)

交通流模拟源码，交通流是交通问题的研究热点。(traffic flow simulation source code, traffic flow is the traffic problem hotspot.)

利用振荡器的相位同步特性进行简单的图像恢复(use the synchronization of oscillators array to recover a pattern)

一个外国人写的关于如何快速写作MATLAB程序的方法(Written by a foreigner writing about how fast the method MATLAB program)

用于MIMO检测的sphere decoder程序( This function implements a soft output sphere decoder. Based on the paper: C. Studer, M. Wenk, A. Burg, and H. Blocskei: "Soft-Output Sphere Decoding: Performance and Implementation Aspects", Asilomar 2006 R ... is an upper triangular matrix obtained from the QR decomposition of the MIMO channel H s ... received symbol (column) vector, s=Q^H*y dist_ZF ... Distance for the zero forcing solution symbols_ZF ... ZF solution M ... number of bits encoded in every layer [1 x nTA] symbol_alphabet ... for the demapping [nTA x 2^max(M)], filled with zeros for smaller symbol alphabets bittable ... matrix containing the bits according to the symbol_alphabet [sum(M) x 2^max(M)])

哈弗曼编码用MATLAB语言和C语言来解释(Huffman coding using MATLAB and C language to explain)

这是matlab编写的Logistic Discrimination 和 KNN分类器代码。这两个算法的实现参考了《Introduction to Machine Learning》。 除此在代码中还包含了调用matlab自带的libsvm的例程。rumLogisticDiscrimination， runKnn， runSvm分别对这3个算法在数据集liver_train_data上的分类准确度进行测试。测试结果在code report.doc 中有简要描述。(This code implements the Logistic Discrimination and KNN classifier. The implementation is according to the text book <<Introduction to Machine Learning>>. We have also compared the classification accuracy among Logistic Discrimination, KNN and SVM on data set liver_train_data. A brief test report is included as well. Enjoy :).)

说明：  续SIMULINK，很实用的一本书，搭建模型介绍详细，多多学习(Continued SIMULINK, very practical book, build model introduced in detail, a lot of learning)