moshifenlei

principal component analysis (PCA ) is a well known approach for dimensionality reduction of the feature space. It has been successfully applied in face recognition. The main idea is to decompose face images into a small set of feature images called eigenfaces, which can be considered as points in a linear subspace called “face space” or “eigenspace”

本程序为多维面阵的波达方位估计的程序，用于面阵俯仰角方位角定向(DOA DOA estimation procedures for multi-dimensional planar array of procedures for the azimuth orientation of the pitch angle of the plane array)

电力系统的潮流MATLAB计算问题 可以方便的计算潮流(MATLAB power flow calculation problem can easily calculate the trend )

用matlab做的一个比较短小的动画,需要更复杂的话可以逐步扩展(A simple animation that made by matlab , If you need to be more complex ,pls write other programs to extend it.)

classification with svm

结合遗传算法与神经网络的图像分割,能得到分割结果的全局最优解,避免陷入局部最优.( Segmentation of image through the combining of genetic algorithm and neural network.)

说明：  Estimating the positions of sensor nodes is a fundamental and crucial problem in ad hoc wireless sensor networks (WSNs). In this paper, an accurate node localization method for WSNs is devised based on the weighted least squares technique with the use of time-of-arrival measurements. Computer simulations are included to evaluate the performance of the proposed approach by comparing with the classical multidimensional scaling method and Cram´ er-Rao lower bound.

对于数字图像处理技术中，图像的编码分为RGB和HIS，这个资料讲述了在matlab中如何将两种编码转换，在实际应用中非常广泛！(For digital image processing technology, image coding is divided into RGB and HIS, this information describes how the two kinds in the matlab code conversion, in a wide range of practical applications!)

matlab语言写的细胞自动机数字水印算法(matlab language of cellular automata Digital Watermarking Algorithm)

Image segmentation by clustering (Image segmentation by clustering)