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xihua
matlab,图像细化函数，适合字符图像细化(matlab, image thinning function for the character image thinning)
- 2010-12-31 16:07:34下载
- 积分：1
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ber
误码性能仿真,主要对二元通信系统的发送和接收端的符号是否一致作出计算，并得到误码率。(bite error simulation)
- 2011-01-15 12:53:36下载
- 积分：1
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the-code-combined-OPNET-with-Matlab
一些特性在OPNET中不能准确描述，若OPNET与matlab联调，则能利用二者的优点使仿真更精确(the code combined OPNET with Matlab)
- 2013-05-01 21:26:53下载
- 积分：1
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svpwm
SVPWM的matlab程序实现，源程序逐句有注释。(SVPWM matlab program implementation, the source was previously published annotated.)
- 2020-10-24 12:07:21下载
- 积分：1
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ExhaustiveSearch
联合信道功率选择穷搜算法 给定信道功率策略数和节点数目下，遍历得出最优(joint channel and power selection exhaustive search)
- 2016-09-22 20:38:32下载
- 积分：1
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FO_Lyap
说明： 计算分数阶李雅普诺夫指数的Matlab代码(Matlab code for Lyapunov exponents of fractional order)
- 2021-04-12 15:28:58下载
- 积分：1
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MATLAB_GUI_development_process_graphics_tutorial
MATLAB GUI图形开发程序教程MATLAB GUI development process graphics tutorial(MATLAB GUI development process graphics tutorial MATLAB GUI development process graphics tutorial)
- 2010-08-02 12:01:35下载
- 积分：1
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tutorial
MATLAB Tutorial
This tutorial is available as a supplement to the textbook Fundamentals of Signals and Systems Using
Matlab by Edward Kamen and Bonnie Heck, published by Prentice Hall. The tutorial covers basic
MATLAB commands that are used in introductory signals and systems analysis. It is meant to serve as
a quick way to learn MATLAB and a quick reference to the commands that are used in this textbook.
For more detailed information, the reader should consult the official MATLAB documentation. An
easy way to learn MATLAB is to sit down at a computer and follow along with the examples given in
this tutorial and the examples given in the textbook.
- 2010-09-13 13:16:25下载
- 积分：1
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smartdec-plugin-v0.0.4-win-qt4.8
Hex-Rays decompiler alternative for IDA 6.5+
- 2014-08-27 00:10:23下载
- 积分：1
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Shannon_fano_Elias
This technique doesn t involve sorting of probabilities as in Shannon-Fano coding. The following formula is used to calculate F (x) which in turn generates the code
F (x) = F(x) + p(x) / 2,
where F(x) is cummulative sum of probabilities p(x).
It can be further understood with the following C code
- 2010-08-11 04:18:23下载
- 积分：1
