svm_target_new.mdl

常微分方程数值解及其MATLAB实现，包含了数学原理，算法和程序。(Numerical Solution of Ordinary Differential Equations MATLAB implementation, including the mathematical principles, algorithms and procedures.)

estmation of doa using music alg

Probability hypothesis density filter for MTT tracking

说明：  最小二乘法的Matlab参数辨识程序（含实例）(Matlab least squares method of parameter identification procedures (including examples))

常见使用函数，利用积分求图形面积，函数可移植性强，有助于matlab学习，并也可直接利用。(By using matlab integral area)

基于matlab的实时人脸表情识别程序源代码。用户调用摄像头，实时处理人脸表情，可识别开心、惊讶、生气和平静四种表情。LBP+LPQ特征，SVM分类器。主函数main可直接运行。已经训练好了。

It is much easier to spot patterns in your data when you can associate an image with each datapoint. thumbnailScatter.m overlays an image thumbnail over each datapoint to help with visualization. For example, if you perform a principal components analysis and would like to plot PC1 vs PC2, use thumbnailScatter.m to see what properties each PC controls. Run demo_scatterThumbnail.m to see how it works. Test data are provided for the demo.

it is acode for k-means clustering

matlab程序分别使用了时域稀疏信号和频域稀疏信号进行测试，两种不同在于时域稀疏信号不用稀疏表达矩阵（因此稀疏表达矩阵使用单位阵即可），而频域稀疏信号则需要先通过稀疏表达矩阵将信号在频域进行稀疏表示，再压缩感知后进行恢复时也要进行反FFT变换到时域。(The matlab program uses sparse signal in time domain and sparse signal in frequency domain to test. The difference is that sparse signal in time domain does not need sparse expression matrix (so sparse expression matrix can use unit matrix). Sparse signal in frequency domain needs to be sparsely expressed in frequency domain by sparse expression matrix first, and then inverse FFT transform is needed when compressed sensing is restored. To the time domain.)

matlab 编写的计算远场RCS的近场远场变换文件，cylindrical 取值即可，但是有一些误差，目前还在进一步修正中。该理论源于球面展开，煮面展开是汉克尔函数的具体应用。OK，大概就是这样。