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Desktop
multiplication of matrices
special operators #
being used through out
PSK
Qam(multiplication of matrices
special operators #
being used through out
PSK
Qam)
- 2009-12-01 16:24:25下载
- 积分：1
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test-Under-determined-speech-and-music-mixtures
test Under-determined speech and music mixturestest Under-determined speech and music mixturestest Under-determined speech and music mixturestest Under-determined speech and music mixturestest Under-determined speech and music mixtures
- 2013-01-21 20:28:14下载
- 积分：1
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pdf-and-cdf
This is a simple script two illustrate the concepts of Probability density function(pdf) cumulative density function (cdf).
Two help pdfs are also included to understand the pdf and cdf concepts.
- 2013-11-16 22:38:56下载
- 积分：1
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di10zhang-
基于matlab数字图像处理技术随书源代码第10章(Based on matlab digital image processing technology with the book source code Chapter 10)
- 2013-11-28 09:40:15下载
- 积分：1
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OFDMA_Data_mapping
ofdma_data_mapping,simulating the MAC layer of the ofdma system
- 2015-05-17 11:36:49下载
- 积分：1
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Features1
Its used for feature generation in matlab
- 2015-05-29 12:57:37下载
- 积分：1
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linearoptimization
分支定界法解整数线性规划问题，在matlab 的环境下使用(linear optimization)
- 2009-12-20 13:41:49下载
- 积分：1
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Watermark_embedding_encryption
image encrypted watermarking using LSB
- 2015-01-12 15:38:00下载
- 积分：1
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metrix_ifc
This software release consists of an implementation of the algorithm described in the paper: H. R. Sheikh, A. C. Bovik, and G. de Veciana, "An Information Fidelity Criterion for Image Quality Assessment Using Natural Scene Statistics," IEEE Transactios on Image Processing, in publication, May 2005.
- 2011-05-28 15:32:49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
