xulyanh

Jacks 频谱的相关性测试，可以验证得到的jaks频谱是否正确 (Jacks test the relevance of the spectrum can be obtained to verify the correctness of the spectrum jaks)

the program beta-Newmark for one-Degree Freedom Systems

粒子群优化工具箱，采用Matlab编写的PSO程序工具箱(Development Notes for psopt toolbox Future plans (in no particular order): * Performance improvement: Automatically check for existence of constraints, skip boundary-checking if unconstrained. * Performance improvement: Automatically vectorize fitness functions supplied by user, if not already vectorized. * Performance improvement: Detect and eliminate dependent (i.e. redundant) linear constraints. * Performance improvement: Automatically choose "penalize" versus "soft" constraint handling method based on type of constraints in problem. If any equality constraints exist, using "penalize", otherwise default to "soft". If "soft", automatically switch to "penalize" if more than a given percentage of particles (initial or interim) are infeasible. * Feature: An output function defined by options.OutputFcns that can save current swarm state in a file which can be reloaded later as a problem structure, in case of a system crash. * Feature: Implement multiobjective optimization option)

标准pso算法新的实现，使用matlab编写。详细，权威，注释丰富，便于修改和使用。同时有适于mac os的m程序。(A realization of standard pso algorithm in 2011, written in matlab. Attached with matlab codes on mac os x.)

Fourier Spectra for Face Recognition

It s a popular game of Flappy Bird. here is a app for Matlab to be used as progam.

metodo runge kutta per risolvere ode

用MATLAC做的非线性时间序列预测和平滑,可以用来做非线性模型的预测和估计(MATLAC done using nonlinear time series prediction and smooth, non-linear model can be used to make the projections and estimates)

Motion Tracking =============== This tarball contains all code required to run the tracking algorithm on a sequence of images. Run the file run_tracker.m in Matlab and follow the instructions. You will need to have a directory of sequentially numbered images available. After entering the path and file types the tracker will begin processing. Once the data window appears the algorithm begins building a background model and attempts to track objects. By clicking on any of the four subwindows you can investigate the background representation (a Mixture of Gaussians) of any pixel. The two windows that then appear display the mixture once as a two-dimensional scatter plot (ignoring the blue colour component), and once as a one-dimensional evolution of the red colour component only. These plots make the internal processing visible and should help determining suitable parameters to be set in mixture_parameters.m.

该算法主要是利用Kalman滤波算法实现目标的跟踪及参数估计。(The algorithm Kalman filtering algorithm is the main goal tracking and parameter estimation. )