CopyofInductonmachinesiulationmodel

ANALYSIS OF TUMOUR GROWTH MODEL IN MATLAB

matlab code to demonstrate jpeg compression algorithm.

多种流行学习算法的MATLAB实现。包括MDS、ISOMAP、 LLE 、 Hessian LLE 、Laplacian、LTSA 等多种算法。(A variety of popular learning algorithm in MATLAB to achieve. MDS, ISOMAP, LLE, Hessian LLE, Laplacian, LTSA.)

Seismic Tools for plotting E3D

matlab做的关于最短路问题的实现。包含了2个课件。(matlab done on the realization of the shortest path problem. Contains two courseware.)

利用matlAB中自带的guide工具，绘制三维李萨如图形，也可绘制广义的李萨如图形，包括矩形波，三角波(the simulation of lissar figure)

应用Matlab采用Galerkin法求解偏微分方程(Galerkin method for solving partial differential equations by matlab)

code for the route angle in wsn

说明：  matlab 计算pid 控制器,可以做任何计算很好用(apply matlab to compute PID controller)

The Mass Univariate ERP Toolbox is a freely available set of MATLAB functions for performing mass univariate analyses of event-related potentials (ERPs), a noninvasive measure of neural activity popular in cognitive neuroscience. A mass univariate analysis is the analysis of a massive number of simultaneously measured dependent variables via the performance of univariate hypothesis tests (e.g., t-tests). Savvy corrections for multiple comparisons are applied to make spurious findings unlikely while still retaining a useful degree of statistical power. The advantages of mass univariate analyses include: reduced need for a priori defined time windows/regions of interest, discovery of unexpected effects even when a priori time windows/regions of interest are available, and greater spatial and temporal resolution than conventional mean time window analyses.