8PSK

用matlab编写的人脸检测的算法，包含图片库，可以直接运行，检测出人脸在图片中的位置。(Matlab prepared with face detection algorithms, including image libraries, can be run to detect the face position in the picture.)

实现主动频率偏移法的孤岛检测，利用matlab中的S-FUN编写(Frequency offset for active islanding detection method, using matlab written in S-FUN)

实现多帧图像的配准，在matlab文件中，图像的读入部分需要自己补入图像路径或自己读取图像数据保存如ImgSource即可(Multi-frame image registration in matlab file, the reading section of the image into the image path needs to be add by the readers, or save the read image data as ImgSource)

说明：  压缩包为模糊PID控制的直流电机的速度控制系统仿真，可进行相关学习(The simulation of the speed control system of DC motor with the compression package of fuzzy PID control can be used for relevant learning)

16－QAM基带传输系统的Matlab仿真 实现了主要模块二进制信息源输入，16QAM调制，发射滤波器，接收滤波器，采样，均衡，信号检测，16QAM解调，信息还原输出，产生BER曲线图。(16-QAM base-band transmission system Matlab simulation to achieve the main source of information input module binary, 16QAM modulation, fired filter, receiver filter, sampling, balance, signal detection, 16QAM demodulator, information to restore the output, resulting BER curves.)

说明：  老外编的标准pso算法的matlab工具箱(foreigners series of the PSO algorithm standard Matlab Toolbox)

It s a MRI imaging simulator including sequence design of magnetism, and image reconstructurion, which written in matlab and C++

针对阵列信号处理中的相干源DOA估计问题，提出了改进的前后向空间平滑，并利用MUSIC实现DOA高精度估计(For coherent source DOA estimation in array signal processing, and put forward the improvement to the space before and after the smooth, and use the MUSIC to realize DOA estimate precision )

the source is in the "Applied Numerical Methods Using MATLAB-Won Young Yang, Wenwu Cao, Tae-Sang Chung, John Morris-Wiley-Interscience (2005)"

There is a trend to develop blind or semi-blind source extraction algorithms based on second-order statistics, due to its low computation load and fast processing speed. An important and primary work is done by Barros and Cichocki, who propose an extraction algorithm based on a time delay. The algorithm is simple and fast, but its performance is not satisfying. The paper extends their work and proposes a robust algorithm based on eigenvalue decomposition of several delayed covariance matrices. It is faster and has better performance, which is conˉrmed by theoretical analysis and computer simulations.