LaplaceSOR.m

随机子空间的matlab主程序代码，可以实现高精度的信号辨识。按照《基于随机子空间和最小二乘法的介质损耗角测量方法》、常军博士论文《随机子空间方法在桥梁模态参数辨识中的应用研究》编写。(Stochastic subspace matlab main code, you can achieve high-precision recognition. Accordance with the " stochastic subspace-based least-squares method and dielectric loss angle measurement methods" , regular army doctoral thesis " stochastic subspace identification of modal parameters of the bridge in the applied research" to write.)

机器学习》课上的作业，PCA和LDA降维，尽管网上很多，但很少注释，另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器，大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数，不是百分比！-" (Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but few notes, on the other did not pay attention to details. Here there is a very detailed notes. In addition, attach a Naive Bayesian classifier, we can compare. Fringe image packages are OLR )

基于K-L变换的特征值提取 三维 数据效果还可以高维转换为低维(K-L character )

球杆程序 编写的相应程序，一级倒立摆的相关程序，仿真结果(Club program Related procedures, the preparation of the corresponding procedures, an inverted pendulum simulation results)

对信号进行加窗分析，分别对信号加矩形窗、汉明窗进行傅里叶变换后分析加窗后的信号的频谱图，与原信号对比(To add window analysis of signal, the signal respectively and the rectangle window, hamming window and window after Fourier transform analysis of signal spectrum, and compared with the original signal)

一个完整的PSO程序，可以实现优化，并且由很好的可视化见面，且可用来调节PID参数(A complete PSO program, you can optimize, and met by a good visualization, and can be used to adjust the PID parameters)

说明：  均匀圆阵的music算法（包括含相关信号）(Circular array MUSIC algorithm (including correlation signal))

语音信号处理中基音周期的提取算法，用线性预测的基本算法原理，matlab实现。(Speech signal processing in pitch extraction algorithm, the basic algorithm with linear prediction theory, matlab implementation.)

说明：  MATLAB simulink 径向基神经网络 前馈神经网络(Application and Comparison of BP Neural Network Algorithm in MATLAB)

利用MATALB编写的潮流程序，先是编写总体框架，然后每一部分作为一个子程序。(MATALB prepared using the flow program, first write the overall framework, and then each part as a subroutine.)