tfdemo3

利用灰色预测，经matlab编程，求出未来几年出版每门课程市场占有率情况，并进行级比检验、残差检验(Gray prediction by matlab programming, find the next few years, the market share of each course publishing, and to carry out class ratio test, residual test)

说明：  2008国际大学生数学建模一等奖论文，数学建模实例与编程教程，提供建模的方法(First Prize Paper on Mathematical Modeling for International College Students 2008, Mathematical Modeling Example and Programming Course, Providing Modeling Method)

ode numerical simulation of vertical cavity semiconductor optical amplifier

MATLAB纹理特征提取可实现平均值、标准差、三阶矩，熵、平滑度一致性(MATLAB texture feature extraction)

速度分析，用于地震勘探方面尤其有用。可以下载了自己改改，也可以用在其他方面(Velocity analysis for seismic exploration area is particularly useful. Can download their own changed, but also can be used in other areas)

MATLAB中关于s函数的资料文件，恒润科技出品，国内唯一指定matlab官方资料出处，值得大家学习s函数参考，不多述，下之(MATLAB s function on the information paper, Hengrun technology produced, the only source of official information specified matlab, worth learning s function reference, not much above, under)

自己编的程序，实现快速傅里叶变化，结果和matlab自带的fft2一样。(Own series of programs, fast Fourier transform, results and matlab native fft2 the same.)

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.)

详细讲述了∏/4-DQPSK调制和解调原理,并提供了matlab实现的代码(Detail the Π/4-DQPSK modulation and demodulation, and provides a matlab implementation of the code)

编写程序，分别读入两个语音文件,然后计算它们的短时自相关函数(Programming, respectively, read the two audio files, and then calculating their short-time auto-correlation function)