mixtureregistration.tar

64 QAM final modulation

说明：  灰色预测模型,简单实用，可用于经济预测及其他预测问题，预测精度高(Gray prediction model , simple and practical, can be used for economic forecasts and other prediction problem, prediction accuracy)

全面分析机械类个企业的经济效益，以一家公司的盈利额为研究对象，选择了8个不同的利润指标，14企业关于这8个指标的统计数据如下表所示，试进行主成分分析。(Comprehensive analysis of the economic efficiency of enterprises machinery months to a company' s earnings amounted research object, select 8 different profit targets, 14 companies on these eight indicators of statistical data in the following table and try to principal component analysis.)

统计代码行、注释行、空行、同时统计函数个数和行数，将代码、注释和空行进行风格评分 (Statistical lines of code, comment lines, blank lines, while the number of statistical functions and the number of rows, the code, comments and blank lines carry style ratings)

matlab实现粒子群算法，matlab实现粒子群算法。matlab实现粒子群算法。(PSO algorithm matlab implementation)

这是学习c很好的资源啊，值得大家好好看一看的，大家多努力啊(This is a good resource to learn c ah, it is worth a good look at us, and we work hard ah)

Soluç ã o de Equaç ã o Diferencial Ordinária - Método do Ponto Médio

将电力市场数据使用小波分解成为两个长度相等的低频和高频小波，然后可以用于灰色模型的建模和波形模型建模！(The electricity market data using wavelet decomposition into two equal length low and high frequency wavelet gray model can then be used for modeling and waveform modeling!)

this code shows the implementation of a transmission chain. First, the codage with Gray(MDA-4), then the over sampling, the filtrage before emission, the filtrage in reception with the same filter(in order to be adaptative). then the decision within the value of the final signal in the reception.

说明：  这是“Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation”（简称LGIF模型）的MATLAB源代码。LGIF模型是非常重要局部区域活动轮廓模型, 它结合了CV模型和LBF模型各自的优点。(This is the "Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation" (referred to as LGIF model) of the MATLAB source code. LGIF model is very important to local area active contour model, which combines the CV model and the merits of LBF model.)