matlabfile

space vector 2 level fast

一个matlab-SVM-kmexample程序，里面还包括几个SVM工具箱(very good)

OFDM 全套的Matlab仿真程序，需要的下。(OFDM Matlab simulation of a full range of procedures, the need for the next.)

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

本书使用简单易行的风格，一开始介绍了MATLAB 基础，你将学习到如何绘制图象，求解代数方程及计算积分，也将学习到如何求解微分方程，求ODE 的数值解，使用特殊函数工作。(This book uses a simple style, beginning MATLAB foundation, you will learn how to draw images, solving algebraic equations and calculating the integral will also learn how to solve differential equations, find the numerical solution of the ODE, use the special function job.)

使用matlab实现p-value的算法 具体的函数实现。可用来处理统计推断等有关问题。(Specific algorithm matlab achieve p-value function. It can be used to deal with issues related statistical inference.)

fft傅里叶变换，将时序信号变换到频域坐标下，进行数据的模态分析(fft transform)

使用matlab gui完成线性卷积和圆周卷积的动态演示系统，并且使用圆周卷积完成线性卷积，属于信号处理的基础应用(Matlab gui complete linear convolution and circular convolution dynamic presentation, and completion of the circular convolution linear convolution, are the basis of the signal processing applications)

2008年11月csai系分辅导论文范文81篇,复习系统分析师下午二论文的参考资料(November 2008 csai Department of Pham Van 81 points counseling papers, review systems analyst at the second paper of reference)

在MATLAB环境下，使用ICA方法分离单路观测数据的程序！(in MATLAB environment, the use of ICA separated one-way observation data for the procedure!)