mathmodl

seismic response analysis of MDOF structures using wilson-theta method

本程序主要实现的是QPSK误码率分析，仿真图包括QPSK仿真误码率，QPSK理论误码率，QPSK仿真误比特率，QPSK理论误比特率。(The main procedures are QPSK BER analysis, simulation figure includes QPSK simulation BER, QPSK theoretical BER, QPSK simulation BER, QPSK theoretical bit error rate.)

说明：  一种新颖的启发式优化算法：飞蛾扑火算法（MFO）(A novel heuristic optimization algorithm: moth flame-fighting algorithm (MFO))

说明：  高斯过程(GP)模型中推理和预测的实现。它实现了在《Rasmussen & Williams:机器学习的高斯过程》(麻省理工学院出版社，2006)和《Nickisch & Rasmussen:二进制高斯过程分类的近似》(JMLR, 2008)中讨论的算法。该函数的优点在于灵活性、简单性和可扩展性。该函数具有一定的灵活性，首先通过定义均值函数和协方差函数来确定遗传算法的性质。其次，它允许指定不同的推理过程，如精确推理和期望传播(EP)。第三，它允许指定似然函数，如高斯函数或拉普拉斯函数(用于回归)和累积逻辑函数(用于分类)。简单性是通过一个简单的函数和紧凑的代码实现的。可扩展性是通过模块化设计来保证的，允许为已经相当广泛的推理方法、均值函数、协方差函数和似然函数库轻松添加扩展。(Gaussian Processes for Machine Learning , the MIT press, 2006 and Nickisch & Rasmussen: Approximations for Binary Gaussian Process Classification , JMLR, 2008. The strength of the function lies in its flexibility, simplicity and extensibility. The function is flexible as firstly it allows specification of the properties of the GP through definition of mean function and covariance functions. Secondly, it allows specification of different inference procedures, such as e.g. exact inference and Expectation Propagation (EP). Thirdly it allows specification of likelihood functions e.g. Gaussian or Laplace (for regression) and e.g. cumulative Logistic (for classification). Simplicity is achieved through a single function and compact code.)

灰色模型的matlab源码，刚注册成为会员，请大家多多指教(GM1_1 matlab example)

相控阵天线中,对各个子阵的幅度加权不同达到降低旁瓣的目的，本程序是子阵加权（taylor）程序(The phased array antenna, for each sub array amplitude weighting of different reduce sidelobe purpose, this procedure is the subarray weighting (Taylor) program)

基于感知器算法的线性分类程序，matlab实现。(Perceptron-based algorithm of linear classification procedures, matlab realize.)

数字图像处理matlab的中值滤波等滤波函数

航天器姿态自由运动以及PID控制simulink仿真(Freedom of movement and spacecraft attitude control simulink simulation PID)

混沌的判断指标Lyapunov指数计算,数据模型归一化，模态振动，多目标跟踪的粒子滤波器。( Chaos indicator for Lyapunov index calculation, Normalized data model, modal vibration, Multi-target tracking particle filter.)