Running Median Algorithm and Implementation for Integer Streaming Applications

Journal article


Cadenas, O and Megson, GM (2018). Running Median Algorithm and Implementation for Integer Streaming Applications. IEEE Embedded Systems Letters.
AuthorsCadenas, O and Megson, GM
Abstract

A novel algorithm is proposed to compute the median of a running window of m integers in O(lg lg m) time. For a new window, the new median value is computed as a simple decision based on the previous median and the values removed and inserted into the window. This facilitates implementations based on data structures that support fast ordinal predecessor/successor operations. The results show accelerations of up to factors of six for integer data streaming in typical embedded processors.

Year2018
JournalIEEE Embedded Systems Letters
PublisherInstitute of Electrical and Electronics Engineers
ISSN1943-0663
Digital Object Identifier (DOI)doi:10.1109/LES.2018.2868409
Publication process dates
Deposited30 Aug 2018
Accepted24 Aug 2018
Accepted author manuscript
License
CC BY 4.0
Page range1-4
Permalink -

https://openresearch.lsbu.ac.uk/item/869qw

  • 4
    total views
  • 29
    total downloads
  • 0
    views this month
  • 2
    downloads this month

Related outputs

Preprocessing 2D data for fast convex hull computations
Cadenas, O and Megson, GM (2019). Preprocessing 2D data for fast convex hull computations. PLoS ONE. 14 (2), p. e0212189.
KurSL: Model of anharmonic coupled oscillations based on Kuramoto coupling and Sturm-Liouville problem
Cadenas, O, Laszuk, D and Slawomir, N (2018). KurSL: Model of anharmonic coupled oscillations based on Kuramoto coupling and Sturm-Liouville problem. Advances in Data Science and Adaptive Analysis. 10 (02).
Rapid preconditioning of data for accelerating convex hull algorithms
Cadenas, O and Megson, G (2014). Rapid preconditioning of data for accelerating convex hull algorithms. Electronics Letters. 50 (4), pp. 270-272.
Virtualization for cost-effective teaching of assembly language
Cadenas, O, Sherratt, S, Howlett, D, Guy, C and Lundqvist, K (2015). Virtualization for cost-effective teaching of assembly language. IEEE Transactions on Education. 58 (4), pp. 282-288.
Median architecture by accumulative parallel counters
Cadenas, O, Megson, G and Sherratt, S (2015). Median architecture by accumulative parallel counters. IEEE Transactions on Circuits and Systems II: Express Briefs. 62 (7), pp. 661-665.
Pipelined median architecture
Cadenas, O (2015). Pipelined median architecture. Electronics Letters. 51 (24), pp. 1999-2001.
Preconditioning 2D integer data for fast convex hull computations
Cadenas, O (2016). Preconditioning 2D integer data for fast convex hull computations. PLoS ONE. 11 (3).
EMD performance comparison: single vs double floating points
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.
On the Phase Coupling of Two Components Mixing in Empirical Mode Decomposition
Laszuk, D, Cadenas, O. and Nasuto, Slawomir J. (2016). On the Phase Coupling of Two Components Mixing in Empirical Mode Decomposition. Advances in Data Science and Adaptive Analysis. 8 (1).