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EMDHHTatmatlab
在matlab平台上实现的关于图象线性变换和几何畸变校正算法的程序,有一定的工程用途,强烈推荐下载(in Matlab platform to achieve the linear transformation of image and geometric distortion correction algorithm procedures, a certain project uses highly recommend downloading )
- 2006-11-14 16:44:14下载
- 积分：1
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matlab
一个模糊控制程序，实现PID控制~！相信一定能用到的！~(A fuzzy control process to realize PID control ~!)
- 2012-04-24 15:26:07下载
- 积分：1
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mskxx
msk 信号的正交调制一比特查分解调，并且画出时域频域波形(MSK orthogonal modulation signal a bit check grade demodulation, and draw the time domain frequency domain waveform)
- 2012-06-02 14:33:33下载
- 积分：1
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hufkj
匹配追踪和正交匹配追踪，一种基于多文档得图像合并技术，gmcalab 快速广义的形态分量分析。( Matching Pursuit and orthogonal matching pursuit, Based on multi-document image obtained combining technique, gmcalab fast generalized form component analysis.)
- 2017-05-05 11:50:15下载
- 积分：1
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FFT_Model
resistive and inductive load. simulation also demonstrate the role of free wheeling diode. Single phase pulse generator was developed to generate the pulses at required firing angle.
- 2014-02-13 10:54:01下载
- 积分：1
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matlab_program
matlab里面的一些经典的例子程序，很好用的(this program is very powerful ，I hope it can help you，)
- 2009-05-27 22:01:56下载
- 积分：1
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sefade
通信仿真中的多径衰落的仿真模型，考虑了包括折射在内的时间延迟(communication simulation of multi-path fading, the simulation model, including consideration of refraction of the time delay)
- 2020-09-08 22:38:02下载
- 积分：1
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chaper3
《机器人控制系统设计与matlab仿真》第三章“机器人神经网络自适应控制”源代码(" Robot control system design and the matlab simulation" " robot neural network adaptive control source code)
- 2013-04-25 14:17:04下载
- 积分：1
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UVW_STAGE
UVW stage rotary table book
- 2015-02-25 10:36:57下载
- 积分：1
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半监督分类算法
半监督学习(Semi-Supervised Learning，SSL)是模式识别和机器学习领域研究的重点问题，是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据，以及同时使用标记数据，来进行模式识别工作。当使用半监督学习时，将会要求尽量少的人员来从事工作，同时，又能够带来比较高的准确性，因此，半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)
- 2021-04-12 11:28:57下载
- 积分：1
