Automatic-identification

说明：  一个基本的OFDM系统同步的仿真程序，包括时间同步和频率同步(A basic OFDM system simulation synchronization procedures, including time synchronization and frequency synchronization)

本程序为自己学习公共语言运行时、托管C++在VS2010上建立的控制台程序，为托管C++的入门程序。(This procedure for yourself to learn the common language runtime, managed c++ in VS2010 console program, established as managed c++ primer application.)

简易的录音功能。通过audiorecorder函数实现录音的功能。比电脑自带的录音好很多(Simple recording function. By recording audiorecorder function. Much better than the computer comes with the recording)

自己写的模糊PID的simulink文件(simulink fuzzy PID)

语言通俗易懂生动有趣是matlab编程入门的好书籍(Easy to understand language interesting is a good entry matlab programming books)

实现基于卡尔曼滤波的圆球运动轨迹跟踪,程序很简单,适合初学者(Ball trajectory tracking based on Kalman filtering)

关于matlab支持向量机的程序，学习支持向量机的人可以看看。(On support vector machine matlab program, learning support vector machines can see.)

LSL最小二乘方格型算法的自适应滤波程序及其应用(LSL least-squares grid-based algorithm for adaptive filtering procedures and its application)

Buck降压转换电路的Simulink模型，可实现直流电压的降压(Buck buck converter circuit Simulink model can be achieved step-down DC voltage)

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.)