MVC

Performs nearest-neighbor or linear interpolation much faster than interp1 when an evenly-spaced lib

东南大学模态理论课件，主要是信号的测试，测量以及激振设备等。(Southeast university courseware modal theory, signal testing, measurement and excitation equipment.)

Matlab function for convolutional encoder with polynominal(G) and k thet generates output sequence of bit stream.

网格法与lingo,内含例子及多个matlab代码(Grid method with the lingo, containing examples matlab code)

说明：  通过matlab模拟蚁群寻找最优路线方法，来应用到数据的局部最优和全局最优的算法上来(Through MATLAB simulation ant colony to find the optimal route method, to apply to the data of local optimal and global optimal algorithm.)

有关matlab较为基础的入门书籍。很适合初学者学习借鉴和使用。(For more matlab basic introductory books. It is suitable for beginners to learn and use.)

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. )

Fisher线性判别决策器，用在模式识别中(Fisher Linear Discriminant decision-making devices used in pattern recognition)

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)

基于质心算法的无线传感器网络的研究，但是定位精度较低。(Wireless sensor networks based on the centroid algorithm research, but lower positioning accuracy.)