youhua

：压缩感知是近年来应用数学界提出的一套关于稀疏信号采集和重构的新理论，它突破了传统奈奎斯特采样定理 的限制，以远少于传统奈奎斯特采样定理所需的测量数据就能够精确恢复原信号或估计信号的相关参数。将压缩感知理论应 用到DOA估计，可以解决传统DOA估计中高采样率、以及较多辐射源信号条件下难以定位的限制。研究了基于压缩感知理 论的DOA估计方法，并利用MATLAB进行仿真，通过与传统MUSIC算法比较可知，基于压缩感知的DOA估计方法具有显著 的优势(The theory of Compressive Sensing(CS)is the application of mathematics in the field of a sparse signal acquisition and reconstruction of the new theory. It breaks through the traditional limitation of Nyquist sampling theorem. It can recover certain signals or estimate their parameters far fewer samples or measurements than traditional methods. The application of compressed sensing theory to DOA estimation can solve the traditional DOA estimation in high sampling rate, as well as more of the radiation source signal conditions is difficult to position limits. This paper studies the theory of DOA estimation method based on compressed sensing theory, and simulation uses MATLAB, compared with the traditional MUSIC algorithms, DOA estimation based on compressed sensing theory method has the obvious advantage)

image segmentation. This package contains demos that were used during an Image Processing webinar

模糊PID控制源程序.采样时间为1ms,在第300个采样时间时控制器输出加1.0的干扰.(Fuzzy PID control of the source code. Sampling time of 1ms, at No. 300 when the controller output sampling time add 1.0 interference.)

Shape variation of the Gaussian pulse

基于matlab的将视频图像中的每一帧图像提取出来并保存至电脑，适用于各种视频取图(Matlab will be based on each video frame image extracted and saved to the computer for a variety of video access map)

基于Matlab的纠错码性能测试仿真 基于Matlab的纠错码性能测试仿真(Matlab-based simulation of error-correcting code performance testing of error-correcting code based on Matlab Test and Simulation)

一个好用的PCA源代码，两个程序，PCA.m为调用子代码，已调(An easy to use the PCA source code, two procedures, PCA.m call sub-code modulated)

用于将中央气象台的T639数据转换为Matlab格式的数据(transform the data from National Meteorological Center of CMA to matlab format)

潮汐调和分析 利用t-tide程序对实测数据资料进行的潮位调和分析 求出调和常数(Tidal harmonic analysis procedure using t-tide data for the measured harmonic analysis of tidal harmonic constants obtained)

通过反馈网络的自适应学习算法自我修正阈值和连接权值等参数(Through the feedback network of the adaptive learning algorithm for self-correction threshold and connection weights and other parameters)