program-code

mathworks公司开发的GPS工具箱,有一定参考价值,但需要进一步完善(MathWorks developed GPS toolbox, must have reference value, but necessary to further improve the)

Dc-Dc converters with electrical isolation

基于LBP的人脸识别技术的代码，用MATLAB程序实现(LBP face recognition technology-based code)

loc pss source code with sample parametr

Characterization of Raman-assisted Fiber Optical Parametric Amplifiers Gain

matlab多因子选股模型，计算每只股票的得分，根据股票的得分划分为n个区间(matlab multi-factor stock selection model to calculate the score for each stock, based on the stock s score is divided into n intervals)

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.)

这是一个潮流计算的程序。运用了牛顿—拉夫逊法。求出了各节点电压，功率分布。(This is a process flow calculation. The use of the Newton- Raphson method. Obtained each node voltage, power distribution.)

实现音频中添加数字水印的matlab程序(Add audio digital watermarking matlab program)

用C或者matlab编写基2 FFT快速算法，输入点数是2的幂次方，序列视作既包含实部也包含虚部。要求一个函数计可以做正变换，也可以做反变换。编写输入序列，先进行正反向变换，得到离散频谱，再将离散频谱加载到输入端进行验证，从输出端获取序列，和原来的序列进行比较，看看是否相等。序列可随意设为2的幂次项！(Written by C or matlab base 2 FFT fast algorithm, the input power of 2 points is the sequence includes both the real part as the imaginary part is also included. Require a meter to do is change the function, you can also do the inverse transform. The preparation of the input sequence, first the forward and reverse transformation, discrete spectrum, discrete spectrum and then loaded into the input validation, access to sequence from the output side, and the original sequences were compared to see if equal. Sequence can be arbitrarily set to a power of 2 items!)