1-s2.0-S1876610213010059-main

求解Chen系统的最大lyapunov指数。求解方法为定义法。两条相轨线的步长为初设距离d0的基础上加上相对分量。求解时直接运行chen_lyapunov.m即可。可移植性强，比如换求其他系统的最大lyapunov指数，只需要改变变量数目，方程即可。(Solving the maximum lyapunov index Chen system. Solving method for defining method. Plus the relative weight of the two basic steps of the phase trajectories for the preliminary design of the distance d0. Can be run directly chen_lyapunov.m solving. Portability, such as changing the index for the largest lyapunov other systems, you only need to change the number of variables, the equation can be.)

产生随机信号 并通过带通滤波器 并计算统计特性Any changes made cards can be good results(Random signal generated by band-pass filter and calculate the statistical properties)

收集的关于粒子滤波的源码 里面有不同版本的粒子滤波例包括PF RPF EKFPF APF等等(Collected inside source on the particle filter have different versions of the particle filter cases, including PF RPF EKFPF APF, etc.)

matlab codes in communication lab 1

Lamb problem: The analytical solution of vertical point source. This is very important for synthetic modeling(Lamb problem : The analytical solution of vertical point sour ce. This is very important for synthetic modeli Vi)

采用相关的算法进行同步，并可粗略估计出多径信道的时延(using the algorithm synchronization, a rough estimate can multi-path channel Delay)

说明：  运动载体的定位与导航一般应用Kalman滤波算法。可 靠的Kalman滤波算法要求有可靠的函数模型、随机模型以 及合理的估计方法。实际情况中运动载体一般难以确保规 则运动，因而精确的函数模型的构造十分困难。近年来， 有不少学者对机动载体运动模型进行了讨论，所属内容各 具特点，建立的各种模型包括微分多项式模型、常速度模 型、常加速度模型、时间相关模型，半马尔柯夫模型、 Noval统计模型及机动载体的“当前”统计模型(Moving vehicle positioning and navigation general application of the Kalman filter algorithm. Kalman filter algorithm requires a reliable function model, a stochastic model, as well as a reasonable estimation method. Moving carrier in the actual situation is generally difficult to ensure a regular motion, and thus the the precise function model structure is very difficult. In recent years, many scholars have discussed the movement of the motor carrier model, each with distinct characteristics of their respective content, establish various models including the differential polynomial model, constant velocity model, constant acceleration model, time-dependent model, semi-Markov model, Noval statistical model and motor carrier &quot current&quot statistical model)

滑模变结构控制的MATLAB仿真实例之二 (Sliding Mode Variable Structure Control of MATLAB simulation examples of the Second)

描述如何使用MATLAB产生线性调频信号，并输出仿真图形(Describes how to use MATLAB to generate a linear FM signal, and output of simulation graphics)

实现数字图像水印的嵌入与提取，文件分为两个，一个为嵌入，一个为提取(digital image watermarking)