Fuzzy_TsukamotoProject

模糊C均值算法的m文件带自己的解释，希望能给大家一点学习上的帮助。 (fuzzy c-means algorithm m document with its own interpretation, in the hope of giving the public a little bit of learning assistance.)

详细的matlab程序，共20个例子，非常详细！可以直接运行！学习matlab的好资料(detailed Matlab, with a total of 20 cases, very detailed. Can directly run! Matlab learning good information)

说明：  对高速运动目标采用基于kalman filter进行预测。基于matlab的实现，来进行运动目标的轨迹预测。有卡尔曼算法，扩展卡尔曼滤波，数据拟合方法。(The high-speed moving target is predicted based on Kalman filter. Based on the realization of MATLAB, the trajectory prediction of moving objects is carried out. There are Kalman algorithm, extended Kalman filter, data fitting methods.)

说明：  本人制作的关于改进人工势场的发表资料。里面包括了关于传统人工势场的理解，和改进人工势场的仿真(I made about the release of improved artificial potential field data. Which includes the traditional artificial potential field on the understanding, and improve the simulation of artificial potential field)

Decompose image into subbands, denoise using BLS-GSM method, and recompose again. fh = decomp_reconst(im,Nsc,filter,block,noise,parent,covariance,optim,sig) im: image Nsc: number of scales filter: type of filter used (see namedFilters) block: 2x1 vector indicating the dimensions (rows and columns) of the spatial neighborhood noise: signal with the same autocorrelation as the noise parent: include (1) or not (0) a coefficient from the immediately coarser scale in the neighborhood covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0) sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise) Version using a critically sampled pyramid (orthogonal wavelet), as implemented in MatlabPyrTools (Eero). JPM, Univ. de Granada, 3/03

code to get optical flow using normalized cross correlation

根据平面波展开法绘制的二维光子晶体能带图，包括TM和TE波两种模式(2d photonic crytal band structure)

我的毕业设计用matlab仿真mimo系统的，很重要算不同信噪比下的信道容量(I graduated from the design with the matlab simulation MIMO system, it is important to count the channel capacity under different signal-to-noise ratio)

应用OFDM可以有效地对抗多径时延扩展。循环前缀不仅可以消除符号间干扰（ISI），还能消除子载波间干扰（ICI).本项目完整地仿真了OFDM系统。(Application of OFDM can effectively combat multipath delay spread. Cyclic prefix can not only eliminate inter-symbol interference (ISI), can eliminate Inter-carrier interference (ICI). This project a complete simulation of the OFDM system.)

使用matlab中快速傅里叶变换fft实现滤波(The use of the MATLAB FFT FFT filter)