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EMD performance comparison: single vs double floating points

Laszuk, D., Cadenas, O. and Nasuto, S. J. (2016) EMD performance comparison: single vs double floating points. International journal of signal processing systems, 4 (4). pp. 349-353. ISSN 2315-4535

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Empirical mode decomposition (EMD) is a data-driven method used to decompose data into oscillatory components. This paper examines to what extent the defined algorithm for EMD might be susceptible to data format. Two key issues with EMD are its stability and computational speed. This paper shows that for a given signal there is no significant difference between results obtained with single (binary32) and double (binary64) floating points precision. This implies that there is no benefit in increasing floating point precision when performing EMD on devices optimised for single floating point format, such as graphical processing units (GPUs).

Item Type:Article
Divisions:Life Sciences > School of Biological Sciences > Department of Bio-Engineering
ID Code:45597
Uncontrolled Keywords:Terms—Empirical Mode Decomposition, Floating Point Arithmetic, Intrinsic Mode Function, Performance Test, Signal Decomposition1

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