HW1_Saman

matlab编写的多元变量最小化问题的downhill方法求解(matlab prepared multi-variable minimization problem downhill method)

该程序是子空间在盲点估计的应用，开发环境是MATLAB，对学习子空间辨识算法的很有用！(The program is estimated that sub-space in the blind spot of the application development environment is MATLAB, on learning subspace identification algorithm is useful!)

说明：  Matlab下的大名鼎鼎的Leach分簇算法实现。对网络研究的有用处(Matlab under the well-known clustering algorithm Leach. Of network research useful)

为了得到具有一般相关量测噪声线性系统的递推滤波算法, 将该问题转化为具有相关量测 单值随机向量的滤波问题,根据单值随机向量的线性无偏最小方差估计算法,导出了量测噪声为一 般相关鞅差序列的线性系统的最优递推状态估计滤波算法.通过数值仿真,将该算法与假定量测噪 声不相关时的Kalman 滤波算法进行了比较,证明了该算法的有效性(In order to obtain the recursive f i ltering alg orithm for a linear system w ith general correlat
ed measurement noises, the problem is t ransformed to that of filtering for a single random vector w ith correlated measurements. According to the linear unbiased minimum variance estimation algorithm for a single random vector, a recursive filtering algori thm is presented. A digital simulat ion technique is used such that the new algorithm can be compared w i th the Kalman f i ltering algorithm, assuming that the measurement noises are uncorrelated. Validi ty of the proposed algorithm is thus proved)

How to use the ordinary Voronoi partition generator. The m-files also have their own help documentation that you can view in Matlab. This code creates a bounding polygon that is a square. Then it randomly creates 10 points and then creates and draws the partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(2, 10) regions = voronoi(bounds, points) drawRegions(bounds, regions) ================================ This is a brief set of instructions on how to use the Multiplicatively- weighted Voronoi partition generator. Each of the m-files has a help section, so in Matlab you can call: help mwvoronoi help drawRegions Here is an example that creates a bounding polygon, a square with side length 10. Then it randomly creates six points with random weights. Finally, the code draws the resulting partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(3, 6) regions = mwvoronoi(bounds, points) drawRegions(bounds, regions) Enjoy!

说明：  这是基于周期图改进的welch的功率谱估计，这种方法是在经典周期图的基础上改进而来的，效果很不错(This is based on the improved welch periodogram power spectral estimation, this method is based on the classical periodogram improvement came, the effect is very good)

说明：  matlab计算信号近似熵，具体参数文件中有说明(Matlab calculates the approximate entropy of the signal, which is explained in the specific parameter file)

滤波器的设计 主要是设计一个滤波器处理原始的心电信号，是信号波形得到处理(heart signal filter and design .the main is design a filter to process the original heart signal.)

超松弛迭代法数值实验，matlab程序，含部分注释(Numerical experiments over relaxation iterative method, matlab program, including some comments)

说明：  srsGUI-123dsst----matlab