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Description: 首先对图像网格化，选择网格坐标位置作为标记种子点添充目标物体。matlab
-first images of the grid, select grid coordinates position as a marker seed Tim charge of target objects. Matlab
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Size: 2594 |
Author: 林道庆 |
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Description: 系统基本功能要求：
1、制图功能
作为一个功能较为完善的建模工具，制图功能应该是最不可或缺的。本建模工具可以实现对于直线、连续直线、多边形区域、圆、圆形区域、圆弧、字符（包括汉字和英文字母）Beizer曲线、B样条曲线等图形元素的较精确绘制，能够根据工业流程实现流程的图示节点表示，并实现包括添、删、移动、连接、清除流程图示节点等编辑功能，和对流程图示节点的仪器功能参数进行设置。对于初级用户而言，操作比较简单，无需太多的学习时间即可进行图形绘制。
2、存储功能
拥有制图功能，同样，建模工具的存储功能也是必不可少的。否则，制图就失去了其应有的意义。本建模工具可将数据结果以特定格式存储在相关数据库中，免除了纸张存储的繁琐和不便，并且比纸张存储更安全可靠。
-basic system functions : one, mapping function as a function of better modeling tools, mapping is the most indispensable. The modeling tools can be achieved for the straight, continuous line, polygon regional round, circular area, arc, characters (including Chinese characters and English letters) Beizer curve, B-spline curves and other graphical elements in a more accurate rendering, according to industrial processes to achieve process icon nodes, including Tim and achieve cut, mobile, connectivity, Picture shows node removal processes such as editing, and the process equipment icon nodes function parameters set. For the primary users, the operation simple, without too much study time will be able to proceed graphics rendering. 2, storage functionality with mapping functions, and similarly
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Size: 236544 |
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Description: 电力系统在台稳定计算式电力系统不正常运行方式的一种计算。它的任务是已知电力系统某一正常运行状态和受到某种扰动，计算电力系统所有发电机能否同步运行
1运行说明：
请输入初始功率S0，形如a+bi
请输入无限大系统母线电压V0
请输入系统等值电抗矩阵B
矩阵B有以下元素组成的行矩阵
1正常运行时的系统直轴等值电抗Xd
2故障运行时的系统直轴等值电抗X d
3故障切除后的系统直轴等值电抗
请输入惯性时间常数Tj
请输入时段数N
请输入哪个时段发生故障Ni
请输入每时段间隔的时间dt-power system stability in the Taiwan Power computing system is not the normal operating mode of calculation. Its mission is a known power system uptime status and be subject to some disturbance, computing power system all synchronous generator can run an operation Note : Please enter the initial power S0, shaped like a bi Please enter the infinite system bus voltage V0 Please enter the system equivalent reactance matrix B matrix B group has the following elements the line matrix into a normal operation of the system straight axis equivalent reactance Xd two fault systems running straight axis equivalent reactance X d 3 after resection of the fault system straight axis equivalent reactance Please enter the inertial time constant Tj Please enter the number of hours which N Please enter a tim
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Size: 1024 |
Author: 魏鹏 |
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Description: 首先对图像网格化，选择网格坐标位置作为标记种子点添充目标物体。matlab
-first images of the grid, select grid coordinates position as a marker seed Tim charge of target objects. Matlab
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Size: 2048 |
Author: 林道庆 |
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Description: 利用MATLAB自带的TIMER函数处理多个线程-TIMER own use of MATLAB function handle multiple threads
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Size: 1024 |
Author: liguang |
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Description: 用deconvlucy图对象进行添噪及恢复，效果理想。-Deconvlucy map objects with Tim noise and recovery, the results are satisfactory.
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Size: 1024 |
Author: 李开杨 |
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Description: induction motor simulation using s-function.real tim/e-induction motor simulation using s-function.real tim/e
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Size: 1024 |
Author: nishu |
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Description: tai lieu ve matlab ban tim day code
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Size: 20480 |
Author: n |
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Description: matlab simulink matlab simulink
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Size: 291840 |
Author: tim.yin |
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Description: GM_PHD_Filter
Version 1.09, 13th December 2013
Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with:
- some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/
- error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse
Algorithm by Ba-Ngu Vo & Wing-Kin Ma in:
B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104
This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper - in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.-GM_PHD_Filter
Version 1.09, 13th December 2013
Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with:
- some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/
- error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse
Algorithm by Ba-Ngu Vo & Wing-Kin Ma in:
B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104
This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper- in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.
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Size: 96256 |
Author: 傲啸天 |
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Description: T_XTIDE Tidal prediction
YOUT=T_XTIDE(STATION) makes a tidal prediction
for the current day using the harmonics file XTIDE. Predictions
at other times can be generated using [...]=T_XTIDE(STATION,TIM)
where TIM is a vector of matlab-format decimal days ( DATENUM).
If TIM is a scalar then it is taken as the number of days present
over which to make predictions. If TIM>1000 then it is taken to be
the starting time in matlab-format.
at the matlab time JD (UTC, but see code for details) where
tau = lunar time
s = mean longitude of the moon
h = mean longitude of the sun
p = mean longitude of the lunar perigee
np = negative of the longitude of the mean ascending node
pp = mean longitude of the perihelion (solar perigee)
- T_XTIDE Tidal prediction
YOUT=T_XTIDE(STATION) makes a tidal prediction
for the current day using the harmonics file XTIDE. Predictions
at other times can be generated using [...]=T_XTIDE(STATION,TIM)
where TIM is a vector of matlab-format decimal days ( DATENUM).
If TIM is a scalar then it is taken as the number of days present
over which to make predictions. If TIM>1000 then it is taken to be
the starting time in matlab-format.
at the matlab time JD (UTC, but see code for details) where
tau = lunar time
s = mean longitude of the moon
h = mean longitude of the sun
p = mean longitude of the lunar perigee
np = negative of the longitude of the mean ascending node
pp = mean longitude of the perihelion (solar perigee)
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Size: 17408 |
Author: yadan |
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Description: 在现代无线通信技术中，扩频通信是一种具有较强抗干扰性能的技术，正交频分复用(OFDM)是一种具有较高数据传输速率和频谱利用率，并能有效对抗频率选择性衰落的多载波调制技术，因而将这二者结合起来构建系统势必会进一步提高系统的抗干扰和抗衰落性能，研究其结合技术也逐渐成为无线通信领域的热点。随着3G的兴起，即将推出的LTE也将采用OFDM技术（正交频分多路复用）。
由于OFDM的多载波特性，使得直接序列扩频技术和跳频技术能够与OFDM技术进行有效的结合。在本文中,我们研究了OFDM）以及相关抗干扰抗衰落技术。同时用matlab进行了仿真，仿真结果表明，本文提出的ICI干扰消除技术在ofdm中起到了很好的效果。
-In modern wireless communication technologies, spread spectrum communication is a kind of strong anti-jamming technology, the performance of orthogonal frequency division multiplexing (OFDM) is a kind of high data rate and spectrum efficiency, and can be effective against frequency selective fading of multi-carrier modulation technology, and combine the two build system is bound to further improve the system s anti-interference and decay resistance, and study the combining technology also gradually become a hot spot in the field of wireless communications. With the development of 3 g, the upcoming LTE will also use OFDM (orthogonal frequency division multiplexing) technology.
Because OFDM multi-carrier characteristic, the direct sequence spread spectrum and frequency hopping technology can be combined with OFDM technology effectively. In this article, we studied the OFDM technology) and related anti-interference resistance to decline. Matlab simulation was carried out at the same tim
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Size: 237568 |
Author: wfyan |
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Description: 本程序用于计算传递熵，采用MATLAB编程。方便实用(caltuate transfer entropy)
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Size: 410624 |
Author: xxxxxersf |
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