lid_driven_flowLBMMatlab

拉丁超立方抽样，调用方式如下：S=lhs(m,dist,mu,sigma,lowb,upb) m: a scalar,the number of sample points dist: A row with distribution type flags of basic random variables the value of the flag can be 1 (for uniform distribution, 2(for normal distribution), 3(for lognormal) and 4(for extreme type 1). mu: A row vector comprising the mean value of basic random variables. sigma: A row vector with its length equaligng to mu,including the standard deviation of basic random variables. lowb: a row vector with its elements are the lower bound of the sampling interval upb:a row vector with its elements are the upper bounds of the sampling interval dist,mu,sigma,lowb,upb must have the same length. Output argument S: sampling point matrix, of which each row is a sampling point.(code of Latin Hypercube Sampling)

自己编写的MATLAB函数，实现对图像的旋转。B是原图像，灰度或彩色，alpha是旋转角度（角度或弧度单位均可），A是旋转后图像。旋转后图像信息尽可能不损失。(I have written MATLAB function, to achieve image rotation. B is the original image, grayscale or color, alpha is the angle of rotation (degrees or radians per unit), A is rotated images. Rotation after the image information as possible without loss.)

固定个数，不动点ICA算法的语音信号盲源分离(A fixed number of fixed point ICA algorithm speech signal blind source separation)

Forgetting factor least squares method

复杂网络中，无标度网络模型的源代码，以及在此基础建立的最优化传播方法(A complex network, scale-free network model of the source code, and on this basis, the establishment of optimum methods of dissemination)

说明：  电子科技大学的一篇关于多传感器融合的好文章,请站长审阅(University of Electronic Science and Technology of multi-sensor fusion on a good article, please review head)

它是指将来自同一目标的不同传感器的信息通过一定的算法融合到一幅图上,从而获得比在单幅图上更完整(It is to point to will come from the same target of different sensors through certain information fusion algorithm to a picture on, to get in on the drawing than single more complete )

该算法是用于量子运算的matlab程序源码码，包含声称量子态，量子寄存器等 可直接使用。 (The algorithm is used for quantum computing matlab program source code contains the claim that quantum states, quantum register can be used directly.)

压缩感知文献及相应的程序(Compressed sensing literature and the corresponding program)

在matlab中用高斯—勒让德方法求二重积分(Seeking double integral using Gauss method in matlab)