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Efficiency of lossless data compression

2011
Data compression is important part of information and communication technologies. There are many benefits from using data compression, like saving space on hard drives or lowering use of transmission bandwidth in the network. There are also many algorithms and many tools that are used today in this field.
Kudelić, Robert   +2 more
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Lossless data compression techniques

Proceedings of WESCON '94, 2002
Data compression, all of a sudden in the 1990s, has become a huge market. Virtually all operating systems now contain some data compression utility. Compression software packages or plug-in boards can more than double storage capacity in PC disc drives. The data compression method in the V.42bis modem standard, used by more than 50 modem manufacturers,
K. Holtz, E. Holtz
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NEAR-LOSSLESS COMPRESSION OF REMOTE-SENSING DATA

2003
This paper describes data compression algorithms capable to preserve the scientific quality of remote-sensing data, yet allowing a considerable bandwidth reduction to be achieved. Unlike lossless techniques, by which a moderate compression ratio (CR) is attainable, due to the intrinsic noisiness of the data, and conventional lossy techniques, in which ...
Bruno Aiazzi   +3 more
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Lossless compression of ionogram data

Proceedings of 13th International Conference on Digital Signal Processing, 2002
A method for lossless compression of binary data is presented. To remove the redundancies among the data points, a linear predictive scheme is proposed and the coefficients are optimised in the sense of minimum mean square error. An arithmetic coder is then used to code the prediction errors.
null Hua Ye   +2 more
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Lossless compression of seismic data

[1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers, 2003
A description and comparative study of three different waveform data compression schemes are presented. All three schemes are lossless, that is, decompression results in exact recovery of the original data samples. The first technique uses linear prediction followed by residue sequence encoding.
C.V. Peterson, C.R. Hutt
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Lossless and Lossy Data Compression

1997
Data compression (or source coding) is the process of creating binary representations of data which require less storage space than the original data [7, 14, 15]. Lossless compression is used where perfect reproduction is required while lossy compression is used where perfect reproduction is not possible or requires too many bits.
Wee Keong Ng   +2 more
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Near-lossless compression of coherent image data

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002
Near-lossless compression yielding strictly bounded reconstruction error, is extended to preserved the radiometric resolution of data produced by coherent imaging systems. A noncausal DPCM, based on the Rational Laplacian Pyramid (RLP), recently introduced by the authors for despeckling, is adjusted to this purpose. The baseband icon of the RLP is DPCM
Bruno Aiazzi   +2 more
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Wavelet lossless compression of ultraspectral sounder data

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005
This paper provides a study concerning the suitability of well-known image coding techniques originally devised for lossy compression of still natural images when applied to lossless compression of ultraspectral sounder data. An ultraspectral sounder generates an unprecedented amount of 3D data, consisting of two spatial and one spectral dimensions ...
Joan Serra-Sagristà   +5 more
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Lossless audio data compression

2007
Lossless audio compression is a rapidly developing field with a strict stipulation: the decompressed sample information must match the original audio data. A common strategy applied by modern compression systems is a "prediction/residual " structure. This strategy generates a series of estimates for audio samples and applies coding schemes to encode ...
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Lossless compression algorithm for high entropy data

Proceedings of the 4th international conference conference on Computer systems and technologies e-Learning - CompSysTech '03, 2003
There is a defined class of data sequences that are practically incompressible known algorithms. For the decision of this problem the lossless recursive algorithm offered. The algorithm realizes coding with two-part code words code words.
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