Weight_W1

快速Z变换的源程序例程,对所采信号进行Z变换以便分析(Fast Z Transform source code routines, taken on the Z transform signals in order to analyze the)

基于标准支持向量机对传感器的线性系统用MATLAB软件进行仿真建模程序(Based on the standard support vector machine (SVM) of the linear system of sensor with the MATLAB software simulation modeling procedures )

支持向量机，实现2或多分类，基于matlab仿真，内有说明(ex6.m- Octave script for the rst half of the exercise ex6data1.mat- Example Dataset 1 ex6data2.mat- Example Dataset 2 ex6data3.mat- Example Dataset 3 svmTrain.m- SVM rraining function svmPredict.m- SVM prediction function plotData.m- Plot 2D data visualizeBoundaryLinear.m- Plot linear boundary visualizeBoundary.m- Plot non-linear boundary linearKernel.m- Linear kernel for SVM [?] gaussianKernel.m- Gaussian kernel for SVM [?] dataset3Params.m- Parameters to use for Dataset 3 ex6 spam.m- Octave script for the second half of the exercise spamTrain.mat- Spam training set 1 spamTest.mat- Spam test set emailSample1.txt- Sample email 1 emailSample2.txt- Sample email 2 spamSample1.txt- Sample spam 1 spamSample2.txt- Sample spam 2 vocab.txt- Vocabulary list getVocabList.m- Load vocabulary list porterStemmer.m- Stemming function readFile.m- Reads a le into a character string submit.m- Submission script that sends your solutions to our servers submitWeb.m- Alternative s)

比较复杂的可进行修改扩展的遗传算法源程序，带有说明文档(Complex can be extended to modify the genetic algorithm source code, with documentation)

Efficiency optimization of IPMSM with fuzzy logic controller and loss minimization algorithm. Good for simulation.

AM_SSB_Modulation Techniques

说明：  灰色预测matlab程序与散点图的绘制的matlab程序(Grey prediction matlab program and scatter diagram of MATLAB program )

Two-Phase Kernel Estimation for Robust Motion Deblurring

传统capon波束形成算法 基本上是最简单的波束形成算法了(Traditional capon beamforming algorithm)

This submission contains an interface to a LBFGS-code for unconstrained minimization problems of the form min_{x} f(x) + c*| ilde{x}|, where x are the parameters, f is a scalar valued real function, c is a positive scalar (default value=0), |.| denotes the 1-norm, and ilde{x} is some subset of the parameters x.