滤波器设计

这是一些关于混沌的源代码，并且是通过本人在计算机上验证并可以实现的，如Rossler系统的绘图，一些混沌程序的仿真等等(This is some source code on the chaotic, and through my computer and can verify, such as the Rossler system drawings, some chaotic process simulation, etc.)

Matlab最新最完整的粒子滤波工具箱，建议在matlab7.X环境下运行(Matlab latest and most complete toolbox particle filter, the proposed environment running under matlab7.X)

代码里有很完整的注释和解释，包含了阵列信号处理的常见算法，包括调制，解调，信噪比计算，快速扩展随机生成树算法，包含特征值与特征向量的提取、训练样本以及最后的识别。(Code, there are very complete notes and explanations Contains a common array signal processing algorithm, Includes the modulation, demodulation, signal to noise ratio calculation, Rapid expansion of random spanning tree algorithm, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition.)

周期函数的傅立叶级数与信号重构基波与谐波(Periodic function of the Fourier series and the fundamental and harmonic signal reconstruction)

for compression sensing

正则化切割图像，matlab代码实现，有样例可以直接运行。 (Regular cutting of the image, matlab code, and sample can be directly run.)

#include "comparer.h" #include <iostream> using namespace std int Comparer::compareByName(Student& s1,Student& s2) { return strcmp(s1.m_szName,s2.m_szName) } int Comparer::compareBySurname(Student& s1,Student& s2) { return strcmp(s1.m_szSurname,s2.m_szSurname) } int Comparer::compareByGroup(Student& s1,Student& s2) {

说明：  基于随机采样的视差平面拟合 (Based on random sampling of disparity plane fitting)

勒让德多项式德生成，在matlab 中德勒让德多项式不能直接用于求导数等计算，故可以自己定义(Legendre polynomials Germany generation, Dragulescu in Matlab which allow polynomials not be directly used for such derivative, it can own definition)

进行LTE的SCH的处理程序，在lTE系统的链路级仿真中，发端的设计编程。属于LTE SCH处理。(sch processor)