HartleyTransform

说明：  计算各种混沌系统李雅普洛夫指数的MATLAB 源程序。(calculating various chaotic system schematic index Lee MATLAB source.)

最小二乘法(LS)仿真6个参考节点定位一个定位节点，利用RSSI与距离转化的公式求解距离。(Least squares (LS) simulation 6 reference node positioning a positioning node, the use of RSSI and distance into the distance formula to solve.)

产生K分布随机变量以及产生的随机变量与K分布密度函数的拟合程度(Generate the K-distribution fitting degree of the random variable and the random variable with distribution density function of the K)

附件中是我用Fortran写的lorenz混沌吸引子的lyapunov指数谱产生程序。包括三部分内容：如何产生lorenz吸引子，详细注释，如何计算lyapunov指数谱。 需要的话也可以单独提取子程序中的四阶龙格库塔算法。 希望有所用。(Annex is written in Fortran I used the Lorenz chaotic attractor of lyapunov index spectrum generation process. Includes three parts: how to generate Lorenz attractor, detailed notes, how to calculate the spectrum lyapunov index. If necessary, extraction can also be a separate subroutine in the fourth-order Runge-Kutta algorithm. Would like to see used.)

说明：  Matlab求解微分方程组，几种经典算法(MATLAB Solves Differential Equations, Several Classical Algorithms)

用matlab仿真，通过不同的方法计算矩阵的SVD分解，并用SVD的方法计算最小二乘问题和进行图像压缩(Matlab simulation, different ways to calculate the matrix SVD decomposition and the SVD method to calculate the least squares problem and the image compression)

对加速度数据进行二次积分，最终得到位移数据。(Double integration of acceleration data and the final displacement data.)

压缩包包含三个文件： 全主元高斯-约当消元法程序AGJDN.m；基于全主元高斯-约当消元法的迭代求解病态矩阵方法AGJDNM.m；AGJDN.m的测试方程。 程序参考自：Fortran常用算法程序集（第二版） 徐世良编。AGJDN.m能求解部分病态矩阵，而AGJDNM.m对于我的测试矩阵效果不佳，但也一并上传，仅供参考。 错漏之处，还望指正。 (Gaussian-Jordan elimination base on all principal element.)

基于Biegler动态优化正交配置法（联立算法）的matlab 代码，由M.Cizniar，M. Fikar等编写(dynopt is a set of MATLAB functions for determination of optimal control trajectory by given description of the process, the cost to be minimised, subject to equality and inequality constraints, using orthogonal collocation on fi nite elements method.)

MFC实现快速傅里叶变换（FFT）MFC实现快速傅里叶变换（FFT）(MFC MFC Fast Fourier Transform (FFT) fast Fourier transform (FFT))