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Gps
GPS project done in matlab
- 2009-10-24 21:49:49下载
- 积分:1
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matlab-emluatot-for-chaos
基于Matlab研究了离散混沌系统的数值解法和图形仿(Numerical Methods and graphics imitation of the discrete chaotic system based on Matlab)
- 2012-07-19 10:13:41下载
- 积分:1
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23825763MIMOprogram
mimo的一些算法,已通过运行,可以直接使用,希望对大家有用(Some of MIMO algorithms, has been running, you can directly use, in the hope that useful to everybody)
- 2009-03-05 17:35:29下载
- 积分:1
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power_transfohyst
power_transfohyst.rar,功率电子领域matlab仿真文件,已经验证过,程序运行正常(power_transfohyst.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)
- 2013-08-26 22:15:50下载
- 积分:1
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QUADRDJ
Please read THIS DOCUMENTE
- 2013-05-05 10:37:16下载
- 积分:1
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voicesignalprocessing
对声音信号进行处理,通过播放来检验处理效果,采用维纳滤波法进行滤波。有详细注解(voice signal processing, using weina.)
- 2009-05-24 15:02:16下载
- 积分:1
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kpca_origin
Kernel PCA toy example Nonlinear component analysis as a kernel Eigenvalue problem
- 2009-11-18 01:00:49下载
- 积分:1
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narrow
对语音信号加入窄带噪声并用小波去除噪声并显示结果(add narrowband noise to signal and decrease it with wavelet)
- 2010-12-13 20:22:52下载
- 积分:1
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SV_C_channel
SV_C信道建模的matlab实现,多径信道的信道增益系数服从对数正态分布!(SV_C channel modeling of the matlab implementation, multi-path channel the channel gain coefficient lognormal distribution!)
- 2010-12-16 19:46:36下载
- 积分:1
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半监督分类算法
说明: 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