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Laplacebianhuanjifanbianhuan
- 这是用Matlab实现的关于Laplace变换及反变换的几个实例.-This is achieved using Matlab on Laplace transform and inverse transform of the few examples.
NILT
- 本文件采用Matlab软件，实现了拉普拉斯逆变换的计算。-This document is the use of Matlab software, the realization of the inverse Laplace transform calculations.
loreta
- Code for computing LORETA inverse solution for the EEG/MEG inverse problem.This corresponds to a Ridge regression using a discrete Laplace Operator as the prior covariance structure of the coeficients. The code is open to use different design matrice
Inverse_Laplace2D_yxiao
- inverse 2-D Laplace transform -inverse 2-D Laplace transform
Application-of-MATLAB
- 给出了理想光具组系统矩阵的MATLAB计算程序，并借助MATLAB进行光线追迹与数值拟合，得到了像差(球差)的多项式及曲线图．-Elastic viscoelastic correspondence principle is a method which is used to solve viscoelastic problems with elastic results using inverse Laplace transformation．The principle can combi
tjfx2
- 用逆累积分函数算出随机变量X满足拉普拉斯分布的随机数 -Random variable X is calculated using the inverse tired integral function to meet the Laplace distribution of the random number
Numerical_Inverse_Laplace_Transform
- 拉普拉斯的数学反变换。信号处理的有利的工具。-This set of functions allows a user to numerically approximate an inverse Laplace transform for any function of "s". The function to convert can be passed in as an argument, along with the desired times at which the function sh
laplace-inverse
- 拉普拉斯变换的源代码，适合做图像处理及其他使用，有启发作用。-Laplace transform of the source code, suitable for image processing and other use, stimulating.
randraw
- EFFICIENT RANDOM VARIATES GENERATOR (from over 50 distributions):Alpha, Anglit, Antilognormal, Arcsin, Bernoulli, Bessel, Beta, Binomial, Bradford, Burr, Cauchy, Chi, Chi-Square (Non-Central), Chi-Square (Centra
control_2
- This a code that works with Laplace s transform, has many functions, like the inverse transform, poles and zeros, etc-This is a code that works with Laplace s transform, has many functions, like the inverse transform, poles and zeros, etc
fuliye-Laplace
- 通过Fourier与Laplace逆变换，把时域图变成频域图，增强信号的可视性。(Through the inverse transformation of Fourier and Laplace, the time domain diagram is transformed into frequency domain graph to enhance the visibility of the signal.)