beam2

Eigenfaces: PCA tends to find a p-dimensional subspace whose basis vectors correspond to the maximum variance direction in the original image space (p  N). We called the new subspace defined by basis vectors “face space”. First, all training faces are projected onto the face space to find a set of weights that describes the contribution of each vector. Then we project all testing faces onto the face space to obtain a set of weights. Finally, we identify the face by comparing a set of weights for the testing face to sets of weights of training faces.

Plots the irradiation diagram of a random N isotropic elements array

最小二乘自动向量机LSSVM的MATLAB程序实现，用于建立PM2.5污染物与其他污染物（如SO2）关系的数学模型。(Least Squares SVM automatic LSSVM MATLAB program to achieve, for the establishment of PM2.5 pollutants and other contaminants (such as SO2) mathematical model of relations.)

自编实现快速fft程序，速度较调用系统的fft稍慢(Fast fft own procedures, faster than the system call fft slower)

蚁群算法在TSP上的应用 商旅问题的研究(Ant colony algorithm in the application of TSP on the issue of business travel)

基于matlab指纹匹配源代码，特征识别，特征匹配 (Fingerprint matching based on matlab source code, feature recognition and feature matching)

讲了卡尔慢滤波的跟踪程序 主要使用目标跟踪的(function kalman)

这是一篇很好的关于风力发电的资料，希望对大家有所帮组。(good material)

Jazoon NFC (near Field Communication) ebook

The groupsac algorithm for estimating the findamental matrix