jacobian

Programming, geographic information systems, with c # to do programming, which is a pdf manual(Programming, geographic information systems, with c# to do programming, which is a pdf manual)

该算法是多层递阶预报算法，可以实现时间序列的有效预测！(The algorithm is a multi-recursive prediction algorithm can be implemented effectively predict time series!)

用SVM进行分类时，需要对原数据进行归一化处理。(When using SVM classification, the need for raw data normalized.)

关于多选择背包的很好的文章，提供了各种设计思路(Multiple Choice Knapsack Problem Example of planning choice in transportation )

说明：  用NN算法对于急病类型进行分类实例 NN For Classification(NN algorithm used for the mistress type NN For example Classification Classification)

I have learn some of the codes for 4g.now I am in need to refer some codes related to my project

digital communication answers chapter 7

using dbscan to clustering in matlab

矩函数研究专家Flusser写的书《Moments and Moment Invariants in Pattern Recognition》中正交矩部分的matlab代码(Moments and Moment Invariants in Pattern Recognition)

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.