lx15

用matlab编写的块匹配运动补偿程序。包含多个块匹配运动估计算法，可计算每个算法的运算量及补偿结果PSNR(Written by matlab block matching motion compensation procedure. Contains more than one block matching motion estimation algorithm, compute the compensation algorithm and the computational results of PSNR)

file for hysteresis controller for bldc motor

fcm code for matlab 2009 and can clustering the item into several clusters with this algorithm

％ ％ [ 联合开发网 - pudn.com

The sign language recognition to create a to store the training image, the video capture infront the user image and each sign language assign the letter the preprocessing the image then image is convert into rgg to cbcr. The image is segmented feature extract the shape and skin color then use the svm classification.

Code in Matlab to find the wave and the radius of fiber.

波束形成中music和常规波束形成比较。常规波束形成方法、music方法。可直接运行，其中有详细的文字解释。(Beamforming music and conventional beamforming comparisons. Conventional beamforming method, music methods. Can be directly run, including a detailed explanation of the text.)

This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. (This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. )

说明：  利用脉冲成形滤波器消除无线通信系统中的符号间干扰(Pulse shaping filter to eliminate the use of wireless communication systems ISI)

模拟信号的数字传输的matlab程序代码指导(Digital transmission of analog signals matlab code guide)