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Proceedings Paper

An optimization algorithm of alternating synchronization sampling based on dynamic sampling interval adjustment
Author(s): Yang Mei; Tao Chen
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Paper Abstract

In this paper, an analysis of the sources of errors in conventional algorithm of synchronous sampling is presented. An alternate synchronous sampling optimization algorithm is proposed, in which the sampling intervals are dynamically adjusted within each signal cycle. A rule for the remainder and rounding is identified to accelerate the execution of the algorithm. Results from experiments show that this approach is effective in reducing the synchronous errors, increasing the precision of measurements, speeding up the execution, and enhancing the real-time capability of the sampling.

Paper Details

Date Published: 13 March 2013
PDF: 4 pages
Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 87840X (13 March 2013); doi: 10.1117/12.2013932
Show Author Affiliations
Yang Mei, Henan Institute of Engineering (China)
Tao Chen, Henan Institute of Engineering (China)


Published in SPIE Proceedings Vol. 8784:
Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)

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