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All-phase--correction-method
全相位时移相位差频谱校正法的文章,帮助大家学习。(All phase shift the phase spectrum correction method, article, and help them to learn)
- 2012-04-25 15:30:44下载
- 积分:1
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Network
Matlab Networks codes
- 2011-10-18 18:30:23下载
- 积分:1
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GA_Test
利用GA算法实现软件测试的测试用例选取,对参数估计进行GA估计(GA algorithm using software testing test cases selected, the parameter estimate is estimated GA)
- 2009-01-07 15:52:58下载
- 积分:1
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text2img
This function was created as the function getframe() does not capture the data in the required size.
This function lets you specify the font size, weight and several other things.
* To change of background/font color open the file and make changes at appropriate places, as it is, it puts black text on white background.
- 2015-01-14 22:57:10下载
- 积分:1
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QPSK
这是一个关于QPSK的代码编程,有兴趣的读者可以关注一下!!!(QPSK)
- 2010-05-08 15:46:30下载
- 积分:1
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fuzzyPID
模糊PID控制器matlab simulink仿真,自适应模糊PID控制的仿真文件和模糊规制编写(Fuzzy PID controller matlab simulink simulation, simulation of adaptive fuzzy PID control and fuzzy regulatory documents prepared)
- 2020-09-07 16:18:03下载
- 积分:1
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piotr_toolbox
这是matlab 的一个工具包,里面包含了图像和视屏的工具(Piotr s Image & Video Matlab Toolbox, SketchTokens/toolbox/ should have channels, classify, filters, images, matlab)
- 2020-09-09 20:18:02下载
- 积分:1
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EM
说明: 模式识别中的Expectation maximization算法的matlab源码(Expectation maximization algorithm)
- 2015-04-06 18:44:25下载
- 积分:1
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eqberdemo
展示了线性、DFE、MLSE均衡器的信噪比性能,并通过蒙特卡罗模拟信道估计结果确定。(This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks.
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- 2014-02-10 17:47:36下载
- 积分:1
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upf_demos.tar
% PURPOSE : Demonstrate the differences between the following filters on the same problem:
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% 1) Extended Kalman Filter (EKF)
% 2) Unscented Kalman Filter (UKF)
% 3) Particle Filter (PF)
% 4) PF with EKF proposal (PFEKF)
% 5) PF with UKF proposal (PFUKF)( PURPOSE: Demonstrate the differences between the following filters on the same problem: 1) Extended Kalman Filter (EKF) 2) Unscented Kalman Filter (UKF) 3) Particle Filter (PF) 4) PF with EKF proposal ( PFEKF) 5) PF with UKF proposal (PFUKF))
- 2007-09-30 11:16:30下载
- 积分:1