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plotspectrum
运用 参数估计法AR 法进行功率谱做图 直接输入待做图信号便可(AR method of parameter estimation method power spectrum do plan direct input to be able to make plans signal)
- 2013-03-25 18:44:48下载
- 积分：1
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Oppenheim-Signals-and-Systems
奥本海姆的《信号与系统》教材第二版中文版
适合初学信号与系统哦~(Oppenheim Signals and Systems " textbook second edition of the Chinese version suitable for beginners Signals and Systems oh)
- 2012-10-12 16:11:01下载
- 积分：1
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SNR_Max
信噪比最大化的盲源分离代码，可用于分离源信号数与混合信号数一样的情况。(Separated source signal number and the number of mixed-signal can be used to the SNR maximization blind source separation code.)
- 2012-11-23 20:55:00下载
- 积分：1
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ccs-practiks
practica pic usb com matlab este archivo no es propio es un archivo descargado de la web que comparto con ustedes
- 2011-05-07 04:28:38下载
- 积分：1
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FT_vwt
这是一个关于fiber tracking的源程序(This is a source of fiber tracking)
- 2011-07-05 11:52:07下载
- 积分：1
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Doc1
PID控制，船舶pid控制系统，基于nomoto(PID control)
- 2012-10-02 14:28:49下载
- 积分：1
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QPSK.LLR
illustrates the improvement in BER performance when using log-likelihood instead of hard decision demodulation in a convolutionally
coded communication link
- 2010-09-11 20:56:29下载
- 积分：1
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1222
这个小软件可以做到软件内的网页跟随软件变大变小(新手)(In software s homepage followed software fill-out changes small (novice) )
- 2010-03-02 16:54:38下载
- 积分：1
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BMDCP
水文趋势、突变点分析的matlab相关程序——水文时间序列变点分析的贝叶斯方法(Hydrological trends point mutation analysis matlab procedures- hydrological time series change point analysis, Bayesian methods)
- 2020-11-27 02:29:31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
