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Lossless Compression of Climate Data
2015In this paper, we address the problem of lossless, offline compression of climate data. We propose a technique for compression of climate data using combination of differential encoding and Huffman coding. This technique gives lossless data compression and reduces the number of bits required to encode a set of symbols,thereby leading to high ...
Bharath Chandra Mummadisetty +3 more
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Multigig lossless data compression device
IEEE Transactions on Consumer Electronics, 2010This paper presents a novel lossless data compression device that extends enterprise network to branch offices by integrating multiple communication technologies. The presented device incorporates Gigabit Ethernet, STM1/STM4/STM16 interfaces for WAN connectivity, fiber channel interfaces for storage area network and 10G Ethernet interface for ...
Rizwana Mehboob +4 more
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LZAC lossless data compression
Proceedings DCC 2002. Data Compression Conference, 2003Summary form only given. This paper presents LZAC, a new universal lossless data compression algorithm derived from the popular and widely used LZ77 family. The objective of LZAC is to improve the compression ratios of the LZ77 family while still retaining the family's key characteristics: simple, universal and fast in decoding and economical in memory
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2018
As mentioned in Chap. 1, data compression describes methods of representing a source by a code whose average codeword length (or code rate) is acceptably small. The representation can be lossless (or asymptotically lossless) where the reconstructed source is identical (or identical with vanishing error probability) to the original source; or lossy ...
Fady Alajaji, Po-Ning Chen
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As mentioned in Chap. 1, data compression describes methods of representing a source by a code whose average codeword length (or code rate) is acceptably small. The representation can be lossless (or asymptotically lossless) where the reconstructed source is identical (or identical with vanishing error probability) to the original source; or lossy ...
Fady Alajaji, Po-Ning Chen
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An Improved Method for Lossless Data Compression
Data Compression Conference, 2005Summary form only given. This paper describes an improved lossless data compression scheme. The proposed scheme contains three innovations: first, an efficient algorithm is introduced to decide when and how to switch from transparent mode to compressed mode, second, a temporary buffer is introduced at the encoder, and third, an approach to decide when ...
Yuhua Bai, Todor Cooklev
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Grouping algorithm for lossless data compression
Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225), 2002Summary form only given. There are in fact two main parts in this paper. One is a modification to context-tree weighting algorithm known as CTW, and the other is a new algorithm called grouping. In the CTW method, we consider a binary tree as a context-tree T/sub D/, where each node s in this tree has length l(s) with 0/spl ges/l(s)/spl ges/D for a ...
Nasser Tadayon +3 more
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Particle Algorithm for Lossless Data Compression
2006 IEEE International Conference on Systems, Man and Cybernetics, 2006This paper presents a new generalized particle model (GPM) to generate the prediction coding for lossless data compression. The basic conception, parallel algorithm, properties and realization scheme of GPM are discussed. The proposed GPM approach has advantages over other serial lossless compression methods in terms of parallelism, scalability and ...
Dianxun Shuai +2 more
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Lossless compression of multispectral image data
IEEE Transactions on Geoscience and Remote Sensing, 1994While spatial correlations are adequately exploited by standard lossless image compression techniques, little success has been attained in exploiting spectral correlations when dealing with multispectral image data. The authors present some new lossless image compression techniques that capture spectral correlations as well as spatial correlation in a ...
Nasir D. Memon +2 more
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Lossless compression of wind plant data
2013 IEEE Power & Energy Society General Meeting, 2012Substantial quantities of wind plant data are being accumulated as interest and investment in renewable energy grows. These data sets can approach tens of terabytes in size, making their management, storage, manipulation, and transmission burdensome. Lossless compression of the data sets can mitigate these challenges without sacrificing accuracy.
H. Louie, A. Miguel
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On-line lossless mocap data compression
2009 IEEE International Symposium on Circuits and Systems, 2009We investigate efficient on-line lossless coding of motion capture (mocap) data in this work. The mocap data consist of a set of curves as the temporal trajectory of variables known as the degrees of freedom (dofs). To achieve compression, we sample each dof's curve temporally, interpolate the curve by a piece-wise Hermite spline as the prediction, and
May-Chen Kuo +3 more
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