Description: This m-file displays the time waveform for the Gaussian pulse function and the first and second derivatives of the Gaussian pulse function for a 0.5 nanosecond pulse width. Other values of pulse widths may be used by changing fs,t,t1. The program uses the actual first and second derivative equations for the Gaussian pulse waveforms. The first derivative is considered to be the monocycle or monopulse as discussed in most papers. The second derivative is the waveform generated from a dipole antenna used in a UWB system. Other information is contained in the file.
-This m-file displays the time waveform for the Gaussian pulse function and the first and second derivatives of the Gaussian pulse function for a 0.5 nanosecond pulse width. Other values of pulse widths may be used by changing fs, t, t1. The program uses the actual first and second derivative equations for the Gaussian pulse waveforms. The first derivative is considered to be the monocycle or monopulse as discussed in most papers. The second derivative is the waveform generated from a dipole antenna used in a UWB system. Other information is contained in the file. Platform: |
Size: 2048 |
Author:王琼 |
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Description: 牛顿下山算法，给出了实例，求导数时自己把公式输入，希望有人能改变能自动求解导数，可以联系我。-Newton downhill algorithm, given examples, and derivatives of the formula when their own input, hope someone can change automatically solve the derivative, you can contact me. Platform: |
Size: 1024 |
Author: |
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Description: 英国sussex大学图像研究所James Malcolm博士写的Graph cut分割，可对图像进行实时分割，解压到linux下后可直接编译运行-Graph cut segmentation in tensor space
Often intensity alone does not provide enough discriminating power for image segmentation. This work demonstrates extending the standard graph cut technique to more discriminative feature spaces. One such space is formed from the tensor products of feature vectors incorporating intensity, image derivatives, etc. Download Matlab wrapper for graph cut image segmentation (Win32,Mac,Linux32,Linux64)
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Size: 2057216 |
Author:覃杨 |
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Description: 一种彩色图像边缘检测的算法。实现J.van de Weijer的" Robust Photometric Invariant Features from the Color Tensor"-The quasi-invariant derivatives can be used to suppress undesired edges
such as shadow, shading and specular edges. LITERATURE: J. van de Weijer, Th. Gevers, A.W.M Smeulders " Robust Photometric Invariant Features from the Color Tensor" IEEE Trans. Image Processing, vol. 15 (1), January 2006. Platform: |
Size: 388096 |
Author:张子墨 |
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Description: The function MSFM2D/MSFM3D calculates the shortest distance from a list of points to all other pixels in an 2D or 3D image, using the Multistencil Fast Marching Method (MSFM). This method gives more accurate distances by using second order derivatives and cross neighbors.
-The function MSFM2D/MSFM3D calculates the shortest distance from a list of points to all other pixels in an 2D or 3D image, using the Multistencil Fast Marching Method (MSFM). This method gives more accurate distances by using second order derivatives and cross neighbors.
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Size: 59392 |
Author:xiaoni |
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Description: 经典的EFK雷达测量模型
构造数据为雷达采样数据，距离、俯仰角、方向角。
假设目标匀速直线运动，CV模型
状态变量用x，y，z，以及各自的导数
-EFK classic measurements of radar data for modeling radar sampling data, distance, pitch angle, direction angle. Goal of uniform linear motion assumption, CV model with state variables x, y, z, and their respective derivatives Platform: |
Size: 3072 |
Author:孙海波 |
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Description: Gradient calculation using first order derivative of Gaussian. by using a 2-D Gaussian kernel, derivatives along x and y directions are calculated
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Size: 1024 |
Author:eetuna |
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Description: Matlab电磁波FDTD传输程序
模拟一天线发射电磁波在不同介质中的传播。-The Finite-difference time-domain (FDTD) method belongs in the general class of grid-based differential time-domain numerical modeling methods. The time-dependent Maxwell s equations (in partial differential form) are discretized using central-difference approximations to the space and time partial derivatives. The resulting finite-difference equations are solved in either software or hardware in a leapfrog manner: the electric field vector components in a volume of space are solved at a given instant in time then the magnetic field vector components in the same spatial volume are solved at the next instant in time and the process is repeated over and over again until the desired transient or steady-state electromagnetic field behavior is fully evolved.
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Size: 5120 |
Author:linxu |
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Description: Numerical Methods for ODE in MATLAB
MATLAB has a number of tools for numerically solving ordinary differential equations. We
will focus on one of its most rudimentary solvers, ode45, which implements a version of the
Runge–Kutta 4th order algorithm. (This is essentially the Taylor method of order 4, though
implemented in an extremely clever way that avoids partial derivatives.) For a complete list
of MATLAB’s solvers, type helpdesk and then search for nonlinear numerical methods. Platform: |
Size: 57344 |
Author:送客 |
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Description: 这是一个简单的FFT为无电位1 +1 +1 Ð 薛定谔方程的光束传播方法。如果该软件灵活，允许引入的术语（如果是极少数需要包括色散效应高阶导数）。例如，如果一个人渴望解决的一个方程的形式：
（四/ dz的+ Ð ^ 2/dx ^ 2 - 0.25 * Ð ^ 3/dx ^ 3）== 0 Ÿ
它可以解决使用以下代码：
Ž = linspace（0,1,512）
x = linspace（-5,5,1024）
psi0 =进出口（- x的。^ 2）
Ð = D_lateral1D（十，2）-0.25 * D_lateral1D（十，3）
字段= LinearBPM（psi0，有D，Z）
凡D_lateral1D是一个函数，提供“取代”的微分算子。
这个函数是在一个非线性的BPM，我曾对（分步，谱方法等），将提交给我，当我完成他们的文件和组织功能更复杂的设置非常初期阶段。
-This is a simple FFT based beam propagation method for potential-free 1+1+1D Schrodinger equation. The software if flexible and allows to introduce high-order derivatives in the term (very handful if is needed to include dispersion effects). For example, if one desires to solve an equation in the form:
(d/dz+ d^2/dx^2- 0.25*d^3/dx^3)Y == 0
It can be solved using the following code:
z=linspace(0,1,512)
x=linspace(-5,5,1024)
psi0=exp(-x.^2)
D=D_lateral1D(x,2)-0.25*D_lateral1D(x,3)
field=LinearBPM(psi0,D,z)
Where D_lateral1D is a provided function that "replaces" the derivative operator.
This function is a very early stage in a more complex set of non-linear BPM functions that I have made (split-step, spectral methods, etc.) and I will submit them when I finish their documentation and organization.
Sorry for my English, I m eager for your comments.
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Size: 2048 |
Author:zhou |
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Description: This function computes 1st and 2nd derivatives of an image using the 5-tap
coefficients-This function computes 1st and 2nd derivatives of an image using the 5-tap
coefficients Platform: |
Size: 2048 |
Author:hiruy |
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Description: EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。
-EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy. Platform: |
Size: 130048 |
Author:zyz |
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Description: 金融工程嗯, 从matlab论坛上下载的，我觉得很有用，所以传上来分享-Financial Engineering derivatives from famous University and is really useful in derivatives. I love it very much and I think is really helpful to your guys Platform: |
Size: 290816 |
Author:楚中天 |
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Description: 基于电导率的偏导数矩阵一维反演程序，matlab编写，调试可用。-Matrix based on the partial derivatives of the conductivity of the one-dimensional inversion procedures, matlab prepared, debugging available. Platform: |
Size: 1024 |
Author:花无缺 |
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Description: 这些工具箱函数计算价格，敏感性，以及投资组合的利润
期权或其它股票衍生产品。他们使用Black-Scholes模型
欧洲期权和美国期权的二项式模型。-These toolbox functions compute prices, sensitivities, and profits for portfolios
of options or other equity derivatives. They use the Black-Scholes model
for European options and the binomial model for American options. Platform: |
Size: 3243008 |
Author:李俊杰 |
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