MadgwickAHRS

在瑞利衰落和高斯白噪声下dpsk调制对于不同信噪比的误码率(bit error rate of the dpsk modulation in Rayleigh fading and Gaussian white noise for different signal to noise ratio)

关于复杂网络中的Betweenness，用matlab计算。(betweenness_centrality(A) returns the betweenness centrality for all vertices in A.)

《MATLAB GUI设计学习手记(第2版)》在第1版的基础上，完善了全书知识结构，突出了gui设计重点，对读者经常遇到的38个问题作了透彻的解答，并提炼出13个专题作了详尽的介绍。(MATLAB GUI design Learning Notes (2nd Edition) " on the basis of the first edition, improve the structure of the book knowledge, highlighting the GUI design focus, made a thorough answers to 38 questions that readers often encountered and extract 13, made a detailed introduction to the topic.)

Local directional pattern has implemented to extract texture multi orientation

christopher edwards book about sliding mode control

用teager能量算子来解调出复杂信号的纯调频挑夫函数，用LMD来进行局部均值分解(Pure FM demodulated complex signal porters function with Teager energy operator, using LMD to carry out the local mean)

模拟一群鸟捕食的情景，从而达到优化目标函数的目的，这就是粒子群算法！起初在可行的空间中随机的产生一群粒子，然后让每个粒子开始在虚拟的空间中向四面八方飞翔，并且每个粒子都记下他们飞过的适应值（也就是目标优化函数）最高的点，而且整个粒子群有一个最高适应值个体，这样，粒子在飞翔的时候尽量朝向自己曾飞过的最好的点和集体的最好的点。最后达到收敛到近似最优点的目的。 (Simulation of a group of birds preying on the scene, so as to achieve the purpose of optimizing the objective function, that is, PSO! At first, where feasible, have a space in a group of random particles, and then let the beginning of each particle in a virtual space to fly in all directions, and each particle they have in mind over the fitness value (that is objective optimization function) the highest point , and the whole particle swarm adaptation has a maximum value of the individual, so that particles in the fly when he had flown as far as possible towards the best point and collective best point. Finally reaching the merits of convergence to approximate most purposes.)

说明：  ssinc窗函数，该程序为窗函数的时域图和频谱图，为时间混叠信号采用的窗函数。(ssinc)

基于SVR的线性系统故障诊断，假设线性系统在1.4s~1.6s期间发生前向通道恒增益故障，恒增益变化系数为1.8(Linear systems based on SVR fault diagnosis, assuming a linear system in 1.4s ~ 1.6s during forward channel constant gain fault, constant gain coefficient of variation of 1.8)

Lung Cancer Detection in matlab