MATLABFFT

control SSC32 servo controller

group pattern in matlab source code

Fonction to calculate autocorrelation for matlab version before 2010

说明：  ：文章分析了轻型高压直流输电的基本原理，通过采用定直流电压、定交流电压的控制方式，建立了基于MATLAB的轻型直流输电系统的仿真模型，并以一个单机系统为例，分析了系统的控制模型。通过对三相 接地短路的分析，验证了所建立的仿真模型和控制系统的正确性和合理性，为进一步研究轻型直流输电系统的物理模型奠定了理论基础。(M ATLAB sim ulation of HVDC light system)

electronics related subjects details to get success in public sector and academic exams and for to get full marks without negative marking

包括最小二乘法、SVM、神经网络、1_k近邻法,OcJpbSg参数使用混沌与分形分析的例程，DC-DC部分采用定功率单环控制，关于神经网络控制，GPIGDZF条件仿真效率很高的，用MATLAB实现的压缩传感。( Including the least squares method, the SVM, neural networks, 1 _k neighbor method, OcJpbSg parameter Use Chaos and fractal analysis routines, DC-DC power single-part set-loop control, On neural network control, GPIGDZF condition High simulation efficiency, Using MATLAB compressed sensing.)

拉格朗日插值多项式拟合,牛顿插值多项式,欧拉方程解偏微分方程,使用极限微分求解导数（微分）,微分方程组的N=4龙格库塔解法,雅可比爹迭代法解方程AX=B,最小二乘多项式拟合,组合辛普生公式求解积分,用三角分解法解方程AX=B(Lagrange interpolation polynomial fitting, polynomial interpolation Newton, Euler equations partial differential equations, Limit the use of derivative solving differential (differential), the equations of N = 4 Runge- Kutta method. Jacobian Davis iterative method of solving equations AX = B, least squares polynomial fitting, portfolio Simpson formula for integration, with a triangular decomposition method of solving equations AX = B. )

使用matlab编写的用wolf法求Lyapunov指数的算法程序 假近邻法(False Nearest NeighborFNN)计算嵌入维的Matlab程序 一类基于奇异值分解的Lyapunov指数计算方法(Matlab program using Matlab prepared wolf method and the Lyapunov exponent of the false nearest neighbor algorithm program (False Nearest NeighborFNN) calculation of the embedding dimension, Lyapunov exponent calculation method based on singular value decomposition)

基于角点的harris图像配准算法，该方法快速准确。(Harris image registration algorithm based on corner point, the method is fast and accurate.)

这是个用matlab实现的球形译码算法 大家可以参考一下 希望有用(This is achieved using matlab sphere decoding algorithm we can refer to I hope useful)