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Huffman coding
In computer science and information theory, Huffman coding is an entropy encoding algorithm used for lossless data compression. (Wikipedia.org)
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Top Conferences on Huffman coding
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2020 International Conference on Machine Learning and Cybernetics (ICMLC)
2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)
2016 12th International Conference on Innovations in Information Technology (IIT)
2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering (PRIME)
2013 International Conference on Communications, Circuits and Systems (ICCCAS)
2012 International Conference on Machine Vision and Image Processing (MVIP)
2011 3rd International Conference on Computer Design and Applications (ICCDA 2011)
2011 International Conference on Transportation and Mechanical & Electrical Engineering (TMEE)
2010 International Conference on Computer Application and System Modeling (ICCASM 2010)
2010 International Conference on Computer Science and Software Engineering (CSSE 2010)
2010 4th International Conference on Intelligent Information Technology Application (IITA)
2009 IEEE Circuits and Systems International Conference on Testing and Diagnosis (ICTD)
2009 Second International Workshop on Computer Science and Engineering (WCSE 2009)
2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)
2008 International Conference on Neural Networks and Signal Processing (ICNNSP)
2008 1st International Conference on Distributed Framework 7 Applications (DFmA 2008)
2008 International Conference on Computing, Communication and Networking (ICCCN 2008)
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Periodicals related to Huffman coding
Broadcasting, IEEE Transactions on
Consumer Electronics, IEEE Transactions on
Dependable and Secure Computing, IEEE Transactions on
Networking, IEEE/ACM Transactions on
Selected Areas in Communications, IEEE Journal on
Signal Processing, IEEE Transactions on
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