C_lib_functions

本文主要是介绍了EKF与UKF的基本原理及其区别，主要适合讲课和作业运用(This paper introduces the basic principles of its distinction of EKF and UKF for lectures and operating use)

Kalman滤波算法在Matlab中的仿真，主要是针对基本的算法(Kalman filter algorithm simulation in Matlab, basic algorithm)

用基本粒子群算法来解决优化问题，本程序给出的是测试函数，根据需要可以自行更改适应度函数。(Using particle swarm optimization algorithm to solve the problem, this program is given a test function, you can change the fitness function according to their needs.)

空间滤波，matlab编程，介绍了低通滤波器，带通滤波器和高通滤波器。(Spatial filtering, Matlab programming, low-pass filter, band-pass filter and high pass filter.)

循环谱工具箱，包括二阶循环累积量，循环谱估计的FAM算法(Cyclic spectrum toolbox, including the second order cyclic cumulant, FAM algorithm for spectral estimation cycle)

复杂网络的小世界模型动态行为的分析，近代复杂网络的开篇(the dynamic of small world network)

说明：  这是一个VC++和MATLAB联合环境下的编程,很有用的,MATLAB的数据显示很强大的,希望对你们有用.(This is a example used combation of vc++ and matlab ,because the vistual of data is very strong ,I hope it will benefit to your.)

matlab，V c++，代码实现，可以实现leach路由算法(use it in V c++)

这篇文章是盲信号处理，因为是英文文章，所以大家看内容就好了。(Principal component analysis (PCA) is a mainstay of modern data analysis- a black box that is widely used but poorly understood. The goal of this paper is to dispel the magic behind this black box. This tutorial focuses on building a solid intuition for how and why principal component analysis works furthermore, it crystallizes this knowledge by deriving from simple intuitions, the mathematics behind PCA . This tutorial does not shy away from explaining the ideas informally, nor does it shy away from the mathematics. The hope is that by addressing both aspects, readers of all levels will be able to gain a better understanding of PCA as well as the when, the how and the why of applying this technique.)

如何设置窗口的额外字节等内容，setwindowlong,getwindowlong(How to set the window extra bytes, etc.)