RLDA_Train

关于支持向量机和Doa估计的，讲的很详细，还有自己理解弄的代码(With regard to support vector machines and Doa estimation, and speak in great detail, as well as his own understanding, get the code)

Turbo code bit interleaved code modulation(BICM)

LMS algorithm matlab

SVPWM的matlab仿真模型，基于simulink搭建，完美实现两电平逆变输出。附带svpwm算法及实现过程，适合自学研究。(SVPWM matlab simulation model, based on simulink structures, the perfect realization of two-level inverter output. With svpwm algorithm and implementation process, suitable for self-study.)

fastica用于信号处理，好用的工具包(FastICA for signal processing, use the toolkit)

一个倒立摆的控制方法，其中包括了简单控制和状态复杂控制方案。(An inverted pendulum control methods, including the simple control and state complex control scheme. )

一篇关于Insar相位展开的文章，对面分析和各种经典算法和最前沿的算法比较(An article on the Insar phase of the article, the opposite analysis and a variety of classical algorithms and the most cutting-edge algorithm)

matlab实现小波去噪的经典，可供初学小波人学习(matlab implementation of the classical wavelet denoising, wavelet for beginners to learn)

说明：  svm程序的优化算法，可用于MATLAB接口连接(svm process optimization algorithm that can be used MATLAB interface)

Source separation problems in digital signal processing are those which are used to separate useful signal a mix of signals of interest, other signals and noise. The typical example of a source separation problem is the cocktail party problem, where many number of peoples are talking simultaneously in a room and a listener is trying to follow one of the discussions. The human brain can separate the voices of different people (source separation) using neurons in the auditory region. But source separation using digital signals is difficult task with the available techniques. Several approaches have been proposed for solving this issue but most of the techniques are still in development stages. Some of the successfully tested approaches are principal components analysis (PCA) and Independent components analysis (ICA). Both the approaches work well when there are no delays or echoes present