SPLL

基于Matlab的MIT-BIH数据读取(Matlab based on the MIT-BIH data read)

Multiwavelet wavelet theory has become a hot one, it is more than wavelet function and a number of scaling function to indicate signal. [1] using fractal interpolation function is the first of a multi-wavelet, as GHM Multiwavelets.

这5个小程序分别为：用Monte Carlo随机法圆柱相交体的体积；用刘徽割圆法计算pi；梯形法.辛普森法计算圆周率；蒲丰掷针实验程序；线性函数的迭代(This five small programs were: using Monte Carlo random method cylinder intersects the volume cyclotomic method with Liu Hui pi trapezoidal method Simpson method to calculate pi Buffon throw needles experimental procedures linear function of iteration)

计算相机镜头参数的代码，可以为镜头选型提供参考(Calculated parameters of the camera lens code, can provide a reference for the lens selection)

双链量子遗传算法双链量子遗传算法双链量子遗传算法双链量子遗传算法双链量子遗传算法双链量子遗传算法(DOUBLE qGADOUBLE qGADOUBLE qGADOUBLE qGADOUBLE qGADOUBLE qGADOUBLE qGA)

该程序实现了压缩感知理论中采用矩阵的优化。在压缩感知理论中，要求采样矩阵与稀疏矩阵的相关性越低越好。该代码采用一种交替投影的方法实现采用矩阵的优化，有效降低其相关性。(The program to achieve the optimization of the use of matrix theory compressed sensing. Requirements of the sample matrix and sparse matrix theory of compressed sensing, the lower the better. The code uses an alternating projection method to achieve the optimization of the use of matrix to effectively reduce the correlation.)

matlab关于数据的预处理的一些程序，很全，中心化，归一化，多元散射校正(matlab on some pre-program data, very wide, centralized, normalization, multiplicative scatter correction)

信号与系统初学者必备,很好很强大，恩 对 很好很强大(the necessity of beginners to the signals and systems )

用路径跟踪法求解不等式约束的凸二次规划，即沿着此路径(或邻域)可以逼近问题的最优解。(With the path tracking method for solving inequality constrained convex quadratic programming, that along this path (or neighborhood) can approximate the optimal solution of the problem.)

说明：  自编多尺度样本熵程序，实例中用于一段轴承故障数据，简单易懂。MultiscaleSampleEntropy函数中的SampleEntropy也可以单独拎出来计算单个样本熵。(Multi scale sample entropy is used for a section of bearing fault data, which is easy to understand. SampleEntropy in the MultiscaleSampleEntropy function can also be picked up separately to calculate the entropy of a single sample.)