Advanced metering the signal activity of combined signal in sparse data condition

Wen Hui Lo*, Sin-Horng Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The performance of finding the upper bound of eigenvalues (UBE) is affected by the quality of correlation matrix estimation. In this paper, a new quantile-based maximum likelihood mean estimator is proposed to improve the mean estimation on sparse data condition so as to obtain a more reliable correlation matrix estimate from observed samples. This in turn improves the UBE finding. The study is specially focused on the quasi-normal signal of combined quantities with asymptotic window-shape distribution and fast-decaying short tail. Experimental results show that the new mean estimator outperforms the conventional sample mean estimator on mean estimation. The UBE finding is also improved accordingly.

Original languageEnglish
Title of host publication2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011 - Proceedings
Pages350-354
Number of pages5
DOIs
StatePublished - 25 Aug 2011
Event2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011 - Binjiang, Hangzhou, China
Duration: 10 May 201112 May 2011

Publication series

NameConference Record - IEEE Instrumentation and Measurement Technology Conference
ISSN (Print)1091-5281

Conference

Conference2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011
CountryChina
CityBinjiang, Hangzhou
Period10/05/1112/05/11

Keywords

  • combined quantities
  • eigenvalue
  • internet of things
  • maximum likelihood estimator
  • quantile
  • quasi-normal
  • sample mean
  • smart grid
  • sparse data
  • upper bound

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  • Cite this

    Lo, W. H., & Chen, S-H. (2011). Advanced metering the signal activity of combined signal in sparse data condition. In 2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011 - Proceedings (pp. 350-354). [5944113] (Conference Record - IEEE Instrumentation and Measurement Technology Conference). https://doi.org/10.1109/IMTC.2011.5944113