square_3D

这是一个MATLAB的。。关于调频调幅调谐的，仿真实验(This is a MATLAB-. . AM on the FM tuner, and simulation experiment)

以MATLAB將影像做邊緣偵測以及邊緣強化， 邊緣偵測分別為Prewitt以及Canny， 邊緣強化是將邊緣做銳利化(MATLAB will do to the image edge detection and edge enhancement, edge detection, respectively Prewitt and Canny, edge enhancement is done to sharpen the edge)

变压器故障样本数据，可以在Matlab里较好的模拟出样本，方便仿真(Transformer fault sample data, you can better simulate the sample in Matlab, simulation convenient)

基于MATLAB的粒子群优化算法程序设计，经典算例。(MATLAB-based particle swarm optimization program design, the classic example.)

使用capon进行测向，对加过幅相误差的信号进行测向，得出其俯仰角和方位角的误差(Use capon were finding of increased over amplitude and phase error signal to be measured, draw its pitch angle and azimuth error)

esprit算法对有干扰的信号频率进行估计,对于初学matlab的同学会有帮助，Matlab实现界面友好。( esprit algorithm signal frequency interference can be assessed Matlab for beginner students will help, Matlab to achieve user-friendly.)

implement fourier transform by matlab

二维无限长介质圆柱、椭圆柱、方柱、三角柱 TM极化下的电磁流分布和双站RCS计算(矩量法) 参考文献：哈林登《计算电磁场的矩量法》第三章 点选配(Two-dimensional infinite dielectric cylinder, elliptical cylinder, square columns, triangular prism TM polarization of the electromagnetic flow distribution and bistatic RCS calculations (method of moments) References: Halin Deng, " Method of Moments electromagnetic field calculation," Chapter Select with)

用于潮流计算的实用程序是电力系统毕业设计的必备程序包 使用范围很广的 欢迎测试(Flow calculation for the utility power system is essential graduation package designed to use a wide range of welcome to the test)

计算机视觉大牛Andrew Blake著的书。 《视觉和图像处理中的马尔科夫随机场》 Markov random fields for vision and image processing(This book sets out to demonstrate the power of the Markov random field (MRF) in vision.It treats the MRF both as a tool for modeling image data and, coupled with a set of recently developed algorithms, as a means of making inferences about images. The inferences concern underlying image and scene structure to solve problems such as image reconstruction, image segmentation, 3D vision, and object labeling. This chapter is designed to present some of the main concepts used in MRFs, both as a taster and as a gateway to the more detailed chapters that follow, as well as a stand-alone introduction to MRFs.)