loss-calc._HT

本程序是一般PD雷达的套完整的仿真程序，包括脉压，MTD，CFAR等过程。(This procedure is generally complete set of PD radar simulation program, including pulse pressure, MTD, CFAR and other processes.)

我编写的svm程序用于分类，用matlab实现(I write the SVM program for classification, matlab)

c4.5主要函数的matlab实现，简单易懂，扩展性很强(c4.5 main function of the Implementation of Matlab, simple, strong expansion)

2010年全国大学生数学建模赛题程序，储油罐的变位识别与罐容表标定的等效模型。(2010 program of the National Mathematical Modeling Contest, storage tanks deformation equivalent model identification and calibration of the tank capacity table.)

Introduction to Simulink with Engineering Applications.

ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，计算互信息非常有用的一组程序,通过反复训练模板能有较高的识别率。( ofdm system simulation including 16qam modulation fft windowing modules plus cp, Mutual information is useful to calculate a set of procedures, Through repeated training MWHEWaHlate have higher recognition rate.)

This program is a Matlab code for finding optimal solution of tower crane location in construction project using Genetic Algorithm

应用维纳滤波法去噪，在图像的频率特征和附加噪声已知的情况下，采用wiener去卷积比较有效(Wiener filter denoising applications, the frequency characteristics of the image and additive noise of known cases, more effective use of wiener deconvolution)

Infinite impulse response filter, MatLab, in Romanian

说明：  （1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 ((1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.)