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simulink
Using Simulink
Simulink is a software package for modeling, simulating, and analyzing dynamical systems. It supports linear and nonlinear systems, modeled in continuous time, sampled time, or a hybrid of the two. Systems can also be multirate, i.e., have different parts that are sampled or updated at different rates
- 2009-11-18 03:26:27下载
- 积分：1
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matlab-1
仿真不同占空比，等概、非等概双极性矩形随机信号的归一化功率谱密度，分析不同信号所包含的频谱分量，有无直流分量和定时分量信息
(Simulation different duty cycles, etc. There is, and so there was a non-random signal bipolar rectangular normalized power spectral density analysis of the spectral components of different signal contained, with or without DC component and timing component information)
- 2013-12-10 00:25:40下载
- 积分：1
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Multilayer_Contrast_Enhance
基于偏微分方程的多级分层的图像增强算法，(Multi-level hierarchical image enhancement algorithm based PDE algorithm)
- 2010-12-14 14:45:18下载
- 积分：1
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A_method_of_MIMO_system_for_synthetic_aperture_rad
一种MIMO雷达系统的合成孔径雷达成像的方法(A_method_of_MIMO_system_for_synthetic_aperture_radar_imaging)
- 2010-05-09 18:54:44下载
- 积分：1
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interpolar
关于次啊阳绿过低时进行内插的程序，主要是拉格朗日内插和farrow内插。(Interpolation procedures on when times ah sun green low, largely Lagrange interpolation and farrow interpolation.)
- 2015-06-13 09:59:23下载
- 积分：1
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lisanshijianARQ
说明： 本文从ARQ协议出发，建立了基于离散时间的GEOM/G/1排队模型。(This departure from the ARQ protocol, based on a discrete time queuing model GEOM/G/1.)
- 2010-04-07 09:16:48下载
- 积分：1
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GUImatlab
在matlab下制作图形用户界面。本例为一归一化二阶系统，制作一个能绘制该系统单位阶跃响应的图形用户界面。(Produced under the matlab graphical user interface. In this case a normalized second-order system, can produce a drawing of the system unit step response of the graphical user interface.)
- 2010-05-12 19:31:49下载
- 积分：1
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AverageDifference
Average difference, maximum difference and absolute error of the two images
- 2014-10-29 14:57:52下载
- 积分：1
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Chap2
Transient Overvoltage in Power System
- 2013-12-28 02:16:53下载
- 积分：1
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matlab_v
Motion Tracking
===============
This tarball contains all code required to run the tracking algorithm
on a sequence of images. Run the file run_tracker.m in Matlab and
follow the instructions. You will need to have a directory of
sequentially numbered images available. After entering the path and
file types the tracker will begin processing. Once the data window
appears the algorithm begins building a background model and attempts
to track objects. By clicking on any of the four subwindows you can
investigate the background representation (a Mixture of Gaussians) of
any pixel. The two windows that then appear display the mixture once
as a two-dimensional scatter plot (ignoring the blue colour
component), and once as a one-dimensional evolution of the red colour
component only. These plots make the internal processing visible and
should help determining suitable parameters to be set in
mixture_parameters.m.
- 2009-10-07 14:48:37下载
- 积分：1
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