average

直接运行MAIN文件。对音频文件滤波，完成低通和高通滤波，并保存为WAV文件。(Run directly MAIN file. Filtering of the audio file to complete the low-pass and high-pass filter, and save it as WAV files.)

说明：  在三维空间中画泡泡,可以指定在三维空间中的x,y,z的坐标以及泡泡的半径r和颜色c(RGB).(BUBBLEPLOT3(x,y,z,r), where x, y, z and r are four vectors of the same length, plots bubbles of radii r in 3-space with centers at the points whose coordinates are the elements of x, y and z. If r is a matrix of size numel(x)x3, BUBBLEPLOT3 produces ellipsoids with centers x(i),y(i),z(i) and radii r(i,1), r(i,2) and r(i,3). BUBBLEPLOT3(x,y,z,r,c), where c is a rgb-triplet array (in [0,1]) with numel(x) rows, plots bubbles with colours specified by c. )

有限单元集成刚度程序，用于计算常见单元刚度矩阵及集成。(beamassemble .ect.)

％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)

this is other mass-spring project with matlab gui that get initial values an d solve the motion equation and show wave of the motion

BRAIN TUMOR RECONSTRUCTION TECHNIQUE

实验二　离散时间傅里叶分析 1． 离散时间信号 ， ，求 的傅立叶变换 。 离散时间信号 ， ，求 的傅立叶变换 (Experiment 2 discrete-time Fourier analysis 1. Discrete-time signal, find the Fourier transform. Discrete-time signal, find the Fourier transform)

matlab file for cample bozorgnaia 2004 attenuation code

粒子群算法Griewankan实现寻优，利用一具体案例得出寻优结果(Particle swarm optimization algorithm Griewankan realized using a specific case optimization results obtained)

libev-4.15源码 libev是Marc Lehmann用C写的高性能事件循环库。通过libev，可以灵活地把各种事件组织管理起来，如：时钟、io、信号等。libev在业界内也是广受好评，不少项目都采用它来做底层的事件循环。node.js也是其中之一(libev-4.15 source libev Marc Lehmann is written in C, a high-performance event loop library. By libev, the flexibility to manage the organization of various events, such as: clock, io, signals. libev is also widely acclaimed in the industry, many projects have adopted it as the underlying event loop. node.js is one of them)