qun-cq34

基于单高斯模型的肤色检测matlab 源代码(Skindetect)

优化IIR滤波器 速度提高了 代码在matlab可以运行(IIR matlab)

matlab文档(matlab documentation)

Reflection Coefficients for an Air-to-Glass Interface

2016年中国图像图形学报 求质心的快速算法 免滤波 直接可以求得质心的位置 附带 matlab源代码！！(In 2016 the Chinese image and graphics Journal of the fast algorithm for the centroid of the fast algorithm can be obtained directly the center of the location of the matlab source code!!)

模式识别：用于分类着力解决关于异或的问题(Pattern recognition: strive to solve the question of exclusive or used for classification)

说明：  三角形，四边形 空间体单元等的刚度矩阵的组装，应力求解，有限元分析，该m文件可直接被matlab调用(Assemble the stiffness matrix of triangle, quadrilateral space element, stress solution, finite element analysis, the M file can be directly called by MATLAB)

加窗变换，信号在高斯窗函数取不同a时的STFT，窗函数是不同值时的stft(Windowed transform the signal in a Gaussian window function to take different when the STFT, the window function is different values ​ ​ of the stft)

：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)

multi-split.rar为多分裂方法求解二维椭圆型偏微分方程(multi-split.rar splitting method for solving a multi-dimensional elliptic partial differential equations)