Power delay tradeoff for dynamic data compression and transmission over a wireless channel

A novel data compression algorithm for dynamic data

2008 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering ◽

10.1109/sibircon.2008.4602560 ◽

2008 ◽

Author(s):

Rahul Gupta ◽

Ashutosh Gupa ◽

Suneeta Agarwal

Keyword(s):

Data Compression ◽

Compression Algorithm ◽

Dynamic Data

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Composite Rigid Body Construction for Fast and Compact Dynamic Data Compression

2013 International Conference on Computer-Aided Design and Computer Graphics ◽

10.1109/cadgraphics.2013.63 ◽

2013 ◽

Author(s):

Zhiqiang Ma ◽

Lili Wang ◽

Xinwe Zhang ◽

Wei Ke ◽

Qinping Zhao

Keyword(s):

Rigid Body ◽

Data Compression ◽

Dynamic Data ◽

Body Construction

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Compression and coding for cable-free land acquisition systems

Geophysics ◽

10.1190/geo2010-0336.1 ◽

2011 ◽

Vol 76 (5) ◽

pp. Q29-Q39 ◽

Cited By ~ 7

Author(s):

Stefano Savazzi ◽

Umberto Spagnolini

Keyword(s):

Data Compression ◽

Data Storage ◽

Spatial Coherence ◽

Real Data ◽

Future Generation ◽

Wireless Channel ◽

Quality Data ◽

Land Acquisition ◽

Data Control ◽

The Impact

The use of cable-free equipment in land acquisition systems is one of the most promising technological breakthroughs toward the minimization of operating costs in high-density surveys. Even if solutions based on remote data storage with some quality data control are reaching a good degree of maturity, their limitations compared to cabled systems are now recognized as unacceptable in land operations. Wireless upload of the entire seismic dataset (or part of it) while shooting is the most challenging task of future generation cable-free systems. Data compression and coding before transmitting over the wireless medium is of strategic importance to reduce the data rate per seismic channel. We have designed data compression systems tailored for cable-free acquisitions. Cable-free receivers are connected by multihop topology so that the encoding of seismic traces optimally exploits the temporal and spatial coherence of data to maximize redundancy. Synthetic and real data are used to simulate the compression settings to evaluate their benefits. Finally, we also discuss the impact of the distortion on signal introduced by the wireless channel fluctuations.

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