CSRsim

matlab code for run the algorithm of Locality Preserving Projection

说明：  这个基于MATLAB的遗传算法的源程序，希望对有需要的同志提供帮助！(the MATLAB-based genetic algorithm source, and I hope to be in need of help comrades!)

说明：  卡尔曼滤波原理及应用代码程序，中国工信出版社(Kalman Filter Principle and Application Code Program,China Industrial and Information Press)

matlab设计模拟带通滤波器 matlab设计模拟带通滤波器 matlab设计模拟带通滤波器(using matlab to design a alogo band pass filter. using matlab to design a alogo band pass filter. using matlab to design a alogo band pass filter)

无迹卡尔曼滤波UKF是重要的非线性滤波方法。它采用UT变换的方法，不再近似系统的非线性方程，它仍然用高斯随机变量表示状态分布，不过是用特定选择的样本点加以描述，每个点叫一个高斯点，它从系统状态的概率密度函数中取出；然后，按系统的真实模型演化，得到非线性演化后的σ点，使得样本均值和样本方差是真实均值和真实方差的好的近似。 在这个程序中，实现了基于UKF的滤波方法，并且建立了两种仿真环境进行实验。(Unscented Kalman filter UKF is an important nonlinear filtering method. It uses the UT transformation method, no similar system of nonlinear equations, it still says the state with the Gaussian distribution of random variables, but the specific choice is to describe the sample points, each point is called a Gaussian point, it is from probability density function of the system state to remove then, according to the true model of evolution of the system obtained after the nonlinear evolution of σ point, making the sample mean and sample variance is true variance of the mean and the true good approximation. )

《MATLAB神经网络30个案例分析》中的第28个例子，案例28 灰色神经网络的预测算法—订单需求预测。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 28 example, 28 cases of grey neural network prediction algorithm- order demand forecasting. Hope to have certain help to everybody! )

说明：  这是一个信赖域方法的程序，简单实用，对初学者非常有用。(This is a trust region method procedures, simple, practical, very useful for beginners. )

包含了802.11a的matlab仿真程序，同时附有原版中英文标准，对了解802.11a无限局域网技术有很好的指导作用。(Includes 802.11a, matlab simulation program, accompanied by original Chinese and English standards, 802.11a wireless LAN technology to understand a very good guide.)

The geodesy aspects of Matlab source geodesy aspects Matlab source would be helpful

this is a code for pso optimization method