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PID
使用matlab设计PID控制器消除系统静态速度误差的方法,主要使用等幅振荡法,并通过WORD给出了传递函数。(PID controller design using matlab static speed error elimination systems approach, the main use of the oscillation amplitude France, and through the WORD gives the transfer function.)
- 2013-10-29 20:54:26下载
- 积分:1
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chuanglong
基于相位差法改变窗长的频谱校正程序,适用于单频率信号的校正(Phase method to change the window length based on the spectrum correction procedure for a single frequency signal correction
)
- 2011-12-29 13:15:14下载
- 积分:1
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TSP
TSP FROM MATLAB WEBSITE
- 2014-11-16 23:20:19下载
- 积分:1
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MeanShiftSky
Detect sky with meanshift algorithm
- 2016-10-11 23:07:05下载
- 积分:1
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HHT_paper
几篇关于希尔伯特黄变换的论文,最近在研究这个,和大家分享(On the Hilbert Huang transform several papers, most recently looking at this, and the U.S. share)
- 2008-03-27 13:07:46下载
- 积分:1
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EMS-IB-Manager-Pro-3.6
EMS IB Manager Pro 3.6
- 2015-03-10 00:52:42下载
- 积分:1
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MATLAB-workshop-lecture-2
matlab detailed introduction updation lecture 2
- 2014-01-13 21:22:31下载
- 积分:1
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TLBO-Code---Unconstrained-
TLBO Code for Unconstrained Functions-无约束条件的教师学习算法(TLBO Code for Unconstrained Functions)
- 2015-04-16 10:04:19下载
- 积分:1
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near-field-inverse-problems
本书详细介绍了基于近场测试数据的逆散射问题的相关知识及其具体应用,这是近场问题的一个很好的例子,在人们都关注高频远场问题的背景下,提出近场的问题,对于计算电磁学的发展很有启发意义,我们的工程实际中,除了高频远场的应用外,低频近场也占有很大的份额,基于进场的反演是一个新兴的课题,需要我们共同去研究!(Book introduced in detail based on near field test data of the inverse scattering problem related knowledge and its practical application, this is a very good example of near field problems, people are concerned about the background of far field problem of a high frequency in the, near field is proposed, for the development of electromagnetism calculation is instructive. In the actual engineering, in addition to the high-frequency far field of application, low frequency near-field also occupies a large share of, based on the inversion approach is a new and developing subject, we go to study!)
- 2015-06-28 20:27:02下载
- 积分:1
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声纹识别
提取声音信号的MFCC特征参数,然后进行匹配,有训练语音,也有测试语音,测试信号既有训练过的,也有没训练过的,都可以识别(The MFCC feature parameters of sound signal are extracted and matched. There are both trained and tested voices. The tested signals can be recognized by both trained and untrained voices.)
- 2019-03-24 09:43:43下载
- 积分:1