amga.cec09

数学建模方法实现拟合与插值，利用matlab模拟此功能(Fitting Interpolation)

经典的Extended-Euclid算法，计算GCD。。。(implement Extended-Euclid)

游需求分析婶予促进我目各地区的经济发展和文化交流都有着重要的意叉。由于旅游行业的。小样本，膏信息，不确定”性， 旅游市场可以看做是一个巨大的灰色系统。皋文竹对旅游需求同题进行了详细的研完，提出了基于灰色表镜理论的多元数学预测模型GM (1，N)．合理分析诸多因素对旅游需求的综合影响，可以很好的解决此奏问题。同时。以北京地区旅游需求发展为倒，根据北京市旅游局平 的历年旅游统计数据，确定影响游客人数的因素并对其合理量化，应用GM(1，N)模型对最地的旅游需求进行预潮．井通过残盖检验，后戎 差检验手方法对谊模型进行分析．得到的攮测结晨比较准磅，未模型应用范田广泛，可以进行推广使用。(Travel demand analysis aunt I promote my head the region s economic development and cultural exchange has an important meaning fork. As the tourism industry. Small sample, paste the information, uncertain "sex, Tourism market can be seen as a huge gray system. Gao asparagus tourism demand with the title for a detailed study finished, put forward the theory based on gray table mirror multivariate mathematical prediction model GM (1, N). Rational analysis of factors combined effects of tourism demand, can solve this problem outs. Simultaneously. Development of regional tourism demand in Beijing is an inverted, according to the Beijing Municipal Tourism Bureau level Calendar year tourism statistics to determine the factors that affect the number of visitors and their reasonably quantified, the application of GM (1, N) model of the tourism demand for the most pre-cuts. Well residue cover through test after Rong Poor test methods friendship hand model for analysis. Nang get more accurat)

identification of pundulum

周期图法计算在白噪声环境下的正弦信号功率谱密度(Periodogram method under the white noise power spectral density of the sinusoidal signal)

matlab调用C++程序，实现for循环加速。有详细步骤，供同学参考~谢谢！(call C++ matlab program to achieve for loop acceleration. There are detailed steps for students to reference ~ Thank you!)

说明：  本程序为误差椭圆matlab例程，工程应用(This procedure for the error ellipse matlab routines, engineering applications)

说明：  旅行商问题( TSP) 的改进模拟退火算法(Traveling Salesman Problem (TSP) to improve the simulated annealing algorithm)

MATLAB code for OFDM Transmission

提取指纹特征点的matlab代码，很有用，利用自适应阈值进行分割，再进行频域增强，根据八邻域纹线编码进行特征提取。(Extracted fingerprint feature points of the matlab code, useful, adaptive threshold segmentation, and then increased in frequency domain, the eight neighborhood ridge coding for feature extraction.)