Standard-deviation-and-mean

高斯过程在回归和分类问题中的应用，注释详细(Gaussian process regression and classification problems in the application, comments, details)

计算B样条非零基函数及其直到n阶导数（n<=p）的算法，p是B样条基函数的次数(Calculation of B-spline basis functions and until nonzero derivative of order n (n < = p) algorithm, p is the B-spline basis functions of times)

filtering and salt and pepper noise reduction

说明：  基于局部傅里叶变换数据的重构算法的研究,是一种比有效快速的重构算法(New features: Switched to complex computation, fully compatible with complex data Replaced penalty parameter continuation by R. Glowinski and P.L. Tallec s alternating direction method (ADM or ADMM) New parameter/data normalization was added to make parameters rather independent of the image size, pixel intensity range, and number of CS measurements. To find the parameters aTV and aL1 for version 2.0 corresponding to those used in versions 1.1 or 1.0, see Lines 60, 66, and 67 of RecPF.m. )

互信息法求混沌序列的最优时延，希望对大家有用。(mutual information for the optimal sequence delay, we hope that the right useful.)

行人检测，hog+svm,机器学习，简单二分类(hog+svm ,used for classified)

这也是关系k紧邻的程序，希望对大家有帮助(This is also a close relationship between the k of the procedure, we hope to help)

这是一个很适合研究和学习用的电力系统仿真软件，是基于matlab的，有很好的界面、仿真库等等，可以进行PF、CPF、OPF等一些计算。(err)

仿真程序：首先需要用一个随机发生器产生（0.1）内的均匀随机数，然后再将该序列映射到对应的幅度电平｛Am｝。然后将这个范围再分成4个相等的区间，这些子区间分别对应于4个信号比特的符号00，01，10，11。检测器观察到r=Am+n，并且计算r和4种可能传输的信号幅度之间的距离，它的输出Bm就是相应于最小距离的信号电平。Bm与真正的的传输信号幅度比较，差错计数器用来对检测器产生的差错计数。(Simulation program: first need to use a random generator (0.1) the uniform random number, then the sequence is mapped to the corresponding amplitude level {Am}. Then this range has been divided into four equal intervals, these sub-intervals corresponding to four signal bits of the symbol 00,01,10,11. Detector observed r = Am+ n, and calculate r and 4 possible transmission distance between the signal amplitude, its output corresponding to the minimum distance Bm is the signal level. Bm and the real rate of transmission of the signal comparison, error detection counter is used to generate the error count.)

matlab based parameter indicator ckt