delphi-APPLICATIONEVENTs

说明：  BP算法客运量预测，十分详细的好资料，值得参考(Passenger Volume Forecast BP algorithm, a very good detailed information, it is also useful)

Matlab在图像处理中的应用源代码：源程序和素材(Matlab application in image processing source: source program and the material )

基于Matlab的遗传算法实现，适用于在matlab环境下进行遗传学的实验的分析(Based on Matlab genetic algorithm applied to the analysis of the genetics experiments in the Matlab environment)

steepest descent/bfgs with polynomial line search

bpsk in Rayleigh fading

用matlab编写的用于测试cpu时间的小程序，简单管用(Matlab prepared using cpu time for testing of small procedures, a simple effective)

说明：  对图像进行哈弗曼编码的处理并对两种直方图的结果进行比对。(Ha Fuman the image processing and coding the results of the two histograms being compared.)

ESPRIT11算法,是借助旋转不变技术估计信号参数,用matlab写的,大家可以参考一下啊!(ESPRIT11 algorithm, is using the same techniques to estimate rotation signal parameters, Matlab was used, we can take a look ah!)

Solution of the orbit equation: Theta as function of time t. Numerical solution of Kepler’s equation for the elliptical test problem Matlab code

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.