soundexample

说明：  Compression and decompression VQ=vector quantization for image.

用夫琅禾费衍射模型模拟液晶相控阵的远场光强分布(Fraunhofer diffraction model to simulate liquid crystal phased array far-field intensity distribution)

本源码实现遗传算法，用于RA准则下的多用户OFDM自适应资源分配(A genetic algorithm based on source code for adaptive resource allocation in multi-user OFDM under RA criterion)

简单的matlab图象修正算法 采用的是sobel函数(Simple matlab edge extraction algorithm using sobel function)

自校正控制MATALAB源码,包括系统辨识，最小方差控制等内容( Matlab source code of STC)

利用matlab对图像所感兴趣的区域进行面积计算并且求解(Use matlab image of the region of interest and area calculations carried out to solve)

现代通信系统（matlab版）（第二版）配套源代码 John G. Proakis等著 刘树棠 译 电子工业出版社出版(modern communication system (Matlab version) (2nd Edition) source code supporting John G. Proak Liushutang is waiting for the translation of the electronics industry published)

descibes optical flow using lucas kanade algorithm. Example supplied help people understand easily

可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络(Reversible Jump MCMC Bayesian Model Selection This demo demonstrates 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.)

用matlab实现的pca算法，用于将维，适用于各种种试验，如人脸识别程序源码 (Achieved using matlab pca algorithm for peacekeeping, applicable to various types of tests, such as face recognition program source code)