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自己写的圆阵空间谱估计MUSIC和mvdr(Write your own circular array spatial spectrum estimation MUSIC and mvdr)

产生AM、USB、2FSK、2PSK信号，调制参数可以控制。(Produce AM, USB, 2FSK, 2PSK signal modulation parameters can be controlled.)

matlab数学建模工具箱 05年数学建模时指导老师给我们的，当时帮了我们不少忙 希望对大家也有帮助(Matlab mathematical modeling toolkit 05 mathematical modeling instructor for us, At that time helped us a lot busy hope everyone will help)

计算矩阵特征值,特征向量，扎德算子，用于评系统的调用。(Calculating eigenvalues)

Beamforming using Leas Mean Square

计算配电网是否满足的辐射状约束,可以作为配电网重构的其中一个约束。(Calculated radial distribution network meets the constraints)

说明：  通过图像匹配实现自由立体显示视差图的校正(Achieve freedom through matching calibration stereoscopic disparity map)

matlab code for image transformation

laplasian code in matlab.

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)