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Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)

用matlab编写的块匹配运动补偿程序。包含多个块匹配运动估计算法，可计算每个算法的运算量及补偿结果PSNR(Written by matlab block matching motion compensation procedure. Contains more than one block matching motion estimation algorithm, compute the compensation algorithm and the computational results of PSNR)

this code is use in telecommunication matlab code

用sobol方法计算基于方差的客观不确定性指标的程序。(Sobol method used to calculate the variance of uncertainty based on objective indicators of the program.)

现代信号处理，语音处理，matlab程序，LMS算法(matlab lms speech)

复杂网络算法与应用教程的例子源代码，对复杂网络学习和实验有提高(Complex network algorithm and Application Tutorial example source code, complex network learning and experiment has been improved.)

this a file for a n armed bandit

matlab如何与vb进行混合编程的案例，还包括部分计算方法的matlab实现(application example of matlab and VB)

遗传量子算法求解背包问题Matlab源码(Quantum Genetic Algorithm for Knapsack Problem)

一个灰色预测GM（1,1）模型可用于一系列的预测问题，可以绘制图形，图形拟合相当好！(A gray prediction GM (1,1) model can be used for a series of prediction problems, you can draw graphics and graphical fit is quite good!)