EKFUKF_1_1

学习用UMAT程序，用于abaqus隐式计算的Johnson-cook模型，有所修改(Learn UMAT program for abaqus Johnson-cook implicit calculation model, some modifications)

一个利用共轭梯度法的正则化实例： 通过输入矩阵的维数，利用共轭梯度法的原理，进行正则化计算；Morozov偏差原理(A conjugate gradient method using the regularization Example: Enter the dimensions of the matrix, using the principle of conjugate gradient method for regularization calculation)

基于CPLEX半连续变量求解发电机组单时段经济调度问题，给定负荷需求，求每台发电机输出P=0或Pmin<=P<=Pmax,使发电成本最小。(Semi-continuous variable based on CPLEX to solve a single period of economic generator scheduling problem, given the load demand, seeking each generator output P = 0 or Pmin <= P <= Pmax, the minimum cost of power generation.)

汪荣江关于计算地震几个很经典的程序，有详细的ppt和源码解释，适合初学者练习使用，有版权保护，学习即可。(Calculate seismology.)

BP神经网络的整个训练过程,使用高阶累积量对MPSK信号进行调制识别，主同步信号PSS在时域上的相关仿真。( The entire training process BP neural network, Using high-order cumulants of MPSK signal modulation recognition, PSS primary synchronization signal in the time domain simulation related.)

在传统Otsu算法的基础上进行了一些改进，提高了算法的性能(Made some improvements on the basis of the traditional Otsu algorithm to improve the performance of the algorithm)

粒子滤波程序，仿真实现自由度机器人对目标的跟踪，使用kalman滤波估计总雅可比矩阵J，噪声为非高斯噪声(Particle filter procedure, simulation robot tracking of targets, the use of kalman filter estimated total Jacobian matrix J, the noise of non-Gaussian noise)

计算改进型SVSLMS算法，在初始收敛速度，时变系统分析能力等方面优于传统的LMS算法(Improved SVSLMS calculation algorithm, the initial convergence rate, time-varying systems analysis capability is superior to the traditional LMS algorithm)

《数字信号处理》一书讨论的内容，主要是离散时间信号的博氏变换和数字滤旋器，本书在该书内容的基础上，介绍了不再属于傅盟叶变换家族的另一种重要的变换一一希尔伯特变换。( Digital Signal Processing to discuss the contents of the book, mainly discrete-time signals and digital transformation Borrelia spin filter, and the contents of this book in the book, based on the introduction of the AU is no longer a Fourier transform Fu family, another important Hilbert transform 11.)

MATLAB的希尔伯特谱分析，导入数据实现算出。最下二乘拟合算法。快速傅里叶变换详细算法。(MATLAB Hilbert spectrum analysis, import data to achieve calculation.The two by fitting algorithm. With the fast Fourier transform algorithm.)