ubss_demo

说明三个分段相连的信号的傅里叶变换和时频分析信号的傅里叶变换和时频分析(Note the three sub-linked signal Fourier transform and time-frequency analysis of signals in Fourier Transform and Time-Frequency Analysis)

说明：  一个关于插值的例程，步骤详细，有详细的注释，对于通信专业的学习有用(An interpolation routine on the steps in detail, with detailed notes, learn useful for the communication professional)

POKER ANALYZER CALCULATES PROBABILITIES FOR TEXAS HOLD EM

非线性系统观测器的设计：LMI方法（论文及程序）(LMI nonlinear observer)

说明：  差分方法是求解微分方程的常用方法。本程序给出了40中差分格式的源程序。(Difference method is commonly used methods for solving differential equations. This procedure gives the difference scheme of the source 40.)

数值分析 (Numerical Analysis)

这是我收集到的最全的关于matlab程序实例应用，尤其对于学习数学的同学最有帮助。很牛的，有需要的我还可以再传一些。免费为有需求的人写程序。(This is my collection of the most complete examples of the application of Matlab procedures, especially for students studying mathematics most helpful. Niu is, I need the re-some can. Free for the demand for a written procedure.)

Matlab编程风格指南，适用于Mablab初学者(Matlab programming style guide for beginners Mablab)

a sliding P ID mode controller with P ID sliding surface is p resented. Lyapunov stability theory was utilized to achieve the stability analysis. And while there exists uncertainty in satellite inertia parameters or external disturbance

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)