MATLABPdspPusefulPold

一般离散信道容量的迭代算法，仿真程序简单易懂，并验证过(iterative algorithm of DMC，Discrete symmetric channel )

MATLAB编程的数值计算MATLAB programming for numerical computing(MATLAB programming numerical MATLAB programming for numerical computing)

DESCRIPTION: This Matlab algorithm performs many tasks associated with power system analysis. First, it has the ability to perform both fully coupled and dc power flow analysis. Second, it has the ability to create measurements (with user-defined error) to be used as input for state estimation. Third, it has the ability to perform state estimation - allowing the user to examine how the placement of measurement devices as well as magnitude of distibution of measurement error affect the discrepency between power flow and state estimation results. In essence, it provides the user with a complete package for the study of both power flow and state estimation in n-bus power systems.

Slycot Library for linear system utitlities

GREY PREDICTION ALGORITHM implementation in matlab source code

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

模式识别中的bayes判别分析算法，有PMUSIC 校正前和校正后的比较，实现了图像的加水印，去噪，加噪声等功能。( Pattern Recognition bayes discriminant analysis algorithm, A relatively before correction and after correction PMUSIC, Realize image watermarking, de-noising, plus noise and other functions.)

this is thesis about digit recognition, it is very useful for one to understand how to write in matlab code

matlab实用程序一百个例子，包括了matlab应用的各方面。(matlab the utility one hundred examples, including the matlab applications.)

S_DBWEbapplication 实例 作为例子参考 讲解演示器作用(S_DBWEbapplication instance as an example to explain the reference to the role of presenter)