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ABC_Free_Space
自由空间中电磁波传播的fdtd算法的matlab实现(Electromagnetic wave propagation in free space of the realization of fdtd algorithm matlab)
- 2009-06-05 16:06:28下载
- 积分：1
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Lowe04IJCV
说明： Lowe2004年发表于IJCV的关于SIFT算法的经典论文(Lowe2004 published in IJCV' s classic paper on the SIFT algorithm)
- 2011-04-06 14:34:34下载
- 积分：1
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example_0
首先信号建模，两种频率的正弦信号叠加，加白噪声和脉冲信号；对叠加信号滤波并提取特征(First, signal modeling, the two frequencies of the sinusoidal signal superimposed with white noise and the pulse signal superimposed signal filtering and extract features)
- 2012-05-21 14:05:07下载
- 积分：1
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wordreport
java与matlab编程的例题。想要做类似工程项目的人员可以参考哦。(java and matlab programming examples. Want to do similar projects can reference Oh.)
- 2008-02-20 19:31:11下载
- 积分：1
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Example2_6_1
对图像的小波分解与重构，并且进行阈值滤波，对滤波前后的图像进行了对比(The image of the wavelet decomposition and reconstruction, and the threshold to filter the images before and after filtering were compared)
- 2009-04-25 11:28:15下载
- 积分：1
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SYSTEMMODEL
在系统辨识中，关键的是系统建模这里提出了多种方法(In system identification, system modeling is the key to a variety of methods presented here)
- 2010-12-28 11:12:37下载
- 积分：1
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CSSTORM
压缩感知理论处理STORM超分辨图像，黄博庄小威随机光学重建显微成像技术(Compressed sensing theory STORM super-resolution image processing, stochastic optical reconstruction Huang Bo Zhuang Xiaowei microscopic imaging technology)
- 2015-10-19 16:14:55下载
- 积分：1
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music
采用music算法对采样的阵列信号进行处理，根据预先给定的值进行估计，采用标准差的方式进行估计。music算法性能的好坏(The music algorithm on sampled array signal processing, based on an estimated value given in advance, an estimated using standard differential manner. music algorithm performance is good or bad)
- 2013-05-11 14:13:47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
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MATLABSOPHOMORE
Important points for Matlab for beginner
- 2012-05-15 12:38:42下载
- 积分：1
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