beamformingCodes

摄像机标定算法matlab实现，没有解压缩码，欢迎使用。Tsai和zhang的经典算法。(Matlab camera calibration algorithm to achieve)

指数平滑法是对时间序列进行预测常用的方法之一,其理论基础是趋势外延，即未来一定时期内事物在数量上的演变特征不脱离过去的发展趋势,预测值是以前所有观测值的加权和,且对不同的数据给予不同的权数,越近期数据给予越大的权数,越远期的数据给予越小的权数。(Exponential smoothing method is commonly used to predict the time series one of the ways, the theoretical basis of the trend of the extension, that is, a certain period of time what the next evolution in the number of characteristics are not out of the development trend of the past to predict the value of all previous observations is the weighted and, on different data and different weights given to more recent data to give greater weights, the more long-term data to give the smaller weights.)

几何纠正论文集合，供参考，供参考供参考供参考(Collection of geometric correction paper, for reference, for reference for information for reference)

matlab实现彩色图像的余弦压缩变换，分阈值不同显示(matlab color image compression cosine transform, threshold different display)

用最小方差无失真响应（MVDR）方法实现数字波束形成(using the mathod of MVDR to realize digital beamforming)

Rayleigh Maximum likelihood estimation based filter for speckle noise removal.Along with that modification done in RMLE filter with respect to homogenous mask area rotating kernel filter.

说明：  关于在VC中如何调用matlab中定义的.m文件中的函数的实例，这是源代码，有需要的朋友可以看看！(on how VC called defined in Matlab. M document examples of the function, which is the source code, we need to see friends!)

说明：  通信始祖山农的1948年的通信开山之作，通信系统的数学理论，具有理论研究意义(Communication before the communication 1948 Zu Shannong pioneer for, the mathematical theory of communication systems, with significant theoretical research)

MachineLearning Classifican KNN-Based Clustering for Improving Social Recommender Systems

%(第一步加载原始数据并绘图)m文件保存代码;而mat文件保存工作区里面已经加载或计算好的数据 %当前文件夹显示的路径一定要是保存数据和保存代码的文件夹 %“relt”是包含分解结果的矩阵，第一列是原始输入（“gsta（：，2）”），最后一列是趋势。 中间是IMF频率从高到低。 %应该注意的是，由于在eemd.m中，IMF的总数m被指定为log2（N）-1，在某些情况解的线条进行了合并 %因此会比实际分解得到的减少，但在计算周期和表现显著性的时候要将每个模态的周期和显著性计算在内。((The first step is to load the original data and draw) m file saves the code; the mat file saves the data already loaded or calculated in the workspace %% the current folder displays a path that must store data and save the code folder. %"relt" is the matrix that contains the decomposition result, the first column is the original input ("gsta (:, 2)"), and the last column is the trend. The middle is the IMF frequency from high to low. It should be noted that since the total number m of IMFs in eemd. m is specified as log2 (N) - 1, the lines of the solution are merged in some cases % will therefore be less than the actual decomposition, but the period and salience of each mode will be taken into account when calculating the period and performance saliency.)