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Octave Neural Network rewritten to be compatible with Matlab.

实现在参数先验是高斯分布情况下，利用马尔科夫链蒙特卡洛算法来对Logistic 回归模型参数的后验分布进行抽样 (It implements different Markov Chain Monte Carlo strategies for sampling from the posterior distribution over the parameter values for Logistic Regression models with a Gaussian prior on the parameter values. )

本源程序可用于语音识别的端点检测算法，双门限端点检测算法+基于谱熵端点检测。。。(Double threshold endpoint detection algorithm+ endpoint detection based on spectral entropy)

说明：  光纤LP51模式,光纤模式计算，纤芯模式，有效折射率(Fiber LP51 mode, fiber mode calculation, fiber core mode, effective refractive index)

used to filter the latent state variable

mimo 2x2 qpsk modulation design using simulink,calculate BER

最大功率跟踪控制，适用于风电、海流能发电等控制系统(max power point track)

说明：  基于matlab的概率网络模拟，源码均是matlab的.m文件，实现了一些有用的算法。(Based on the probability of network simulation matlab, matlab source are the. M file, to achieve some useful algorithms.)

EMpht is a programme for tting phasetype distributions􀀀 It can be used either to t a phasetype distribution to a sample which may contain censored observations or to make a phase-type approximation of another continuous distribution􀀀 The fitting procedure consists of an iterative estimation of the parameters of the phasetype distribution

MATLAB是一种科学计算软件，专门以矩阵的形式处理数据。MATLAB将高性能的数值计算和可视化集成在一起，并提供了大量的内置函数，从而使其被广泛地应用于科学计算、控制系统、信息处理等领域的分析、仿真和设计工作中，而且利用MATLAB产品的开放式结构，用户可以非常容易地对MATLAB的功能进行扩充，从而在不断深化对问题认识的同时，逐步完善MATLAB产品以提高产品自身的竞争能力。 (MATLAB is a scientific computing software, and specialized form of a matrix data processing. MATLAB will be high-performance numeric computation and visualization integrated and provides a number of built-in function, so that it is widely used in scientific computing, control systems, information processing, analysis, simulation and design work , and the use of the open architecture of MATLAB product, the user can very easy expansion of the MATLAB functions, thus deepening the understanding of the problem, and gradually perfect the MATLAB products to enhance the competitiveness of the product itself.)