A Novel Method to Compress Real-Time Process Data

Xiao Jian Zheng

doi:10.4028/www.scientific.net/AMR.430-432.1298

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 430-432A Novel Method to Compress Real-Time Process Data

A Novel Method to Compress Real-Time Process Data

Abstract:

Most existing real-time data compressing algorithms are focused on dynamic and inconstancy of the process data, but a basic observation is ignored with some unexpectedness: on condition that sampling interval is not large, difference between amplitudes of real-time process data from two neighboring samples is relatively small, and most of data amplitudes are in the same range. In this paper we propose a compression algorithm based on the observation and experimentally evaluate the proposed approach and demonstrate that our algorithm is promising and efficient.

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Advanced Materials Research (Volumes 430-432)

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1298-1301

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.430-432.1298

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Online since:

January 2012

Authors:

Xiao Jian Zheng

Keywords:

Data Compression, Process Data, Stream Data Mining

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