GNC toolbox mfile from Thor Fosen

包括：隐藏混沌序列即隐藏参数的生成；对图像进行隐藏；恢复出隐藏前置乱的目标图像；恢复出原目标图像；对隐藏目标置乱处理等(Include: hidden chaotic sequence that is hidden parameter generation images hidden the restoration of a hidden goal of arbitrary pre-image the restoration of the original target image to hide the goal of treatment, such as scrambling)

轨迹跟踪---船舶航迹控制，典型的欠驱动控制问题。两种算法，采用了matlab---simulink，直观明了。(Sailing ship trajectory tracking control, a typical under-actuated control. Two algorithms using matlab--- simulink, intuitive and clear.)

matlab求解偏微分方程的具体实现方法以实例操作。(matlab solving partial differential equations of the concrete implementation methods to instances of action.)

最近邻方法实现印刷体数字识别，及相关数据转换程序(Nearest neighbor method to achieve printed numeral recognition, and related data conversion process)

本程序是mazen.O的经典论文：Performance Analysis of two-hop ralayed transmissions over rayleigh fading channels 的文章中所附的仿真图的程序，跑出的结果和文章中的附图是一样的！可以跑出里面的三张图，包括瑞利衰落下中继信道的中断概率的蒙特卡洛及公式的仿真，及选择不同的增益的性能差别曲线！ (This program is mazen.O classic paper: Performance Analysis of two-hop ralayed transmissions over rayleigh fading channels in the article accompanying the simulation of the processes, results and articles ran in the figures are the same! You can run out of the inside of the three figures, including the Monte Carlo simulation and the formula for the outage probability of Rayleigh fading relay channel, and select a different gain performance difference curves!)

function calculates matrices of scores and loadings using NIPALS algorithm (Nonlinear Iterative Partial Least Squares)

Matlab Edge detection using masks

说明：  为了减少边缘检测中的噪声影响,设计了一种分数阶差分滤波器,给出了该滤波器的原理,分析了此类滤波器的幅频特性.(In order to reduce the effect of the noise in edge detection,a kind of fractional-order difference filters were designed,whose theory was worked out and amplitude-frequency characteristic were analyzed.)

说明：  关于matlab对通信系统建模与仿真的应用(Matlab on the communication system on the Modeling and Simulation Application)

故障时频域特征提取，前六阶CEEMDAN+初始信号时频域特征(Fault time-frequency domain feature extraction, first six-order CEEMDAN + initial signal time-frequency domain feature)