EMD performance comparison: single vs double floating points

Journal article


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

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).

KeywordsEmpirical Mode Decomposition; Signal Decompoisition; Floating point comparison
Year2016
JournalInternational journal of signal processing systems
Journal citation4 (4), pp. 349-353
PublisherLondon South Bank University
ISSN2315-4535
Digital Object Identifier (DOI)doi:10.18178/ijsps.4.4.349-353
Publication dates
Print01 Aug 2016
Publication process dates
Deposited15 May 2017
Accepted18 May 2016
Publisher's version
License
CC BY 4.0
File Access Level
Open
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https://openresearch.lsbu.ac.uk/item/872z5

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