標題: Advanced Metering the Signal Activity of Combined Signal in Sparse Data Condition
作者: Lo, Wen-Hui
Chen, Sin-Horng
電信工程研究所
Institute of Communications Engineering
關鍵字: eigenvalue;sparse data;upper bound;sample mean;quasi-normal;maximum likelihood estimator;quantile;combined quantities;smart grid;internet of things
公開日期: 2011
摘要: 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.
URI: http://hdl.handle.net/11536/14867
ISBN: 978-1-4244-7935-1
ISSN: 1091-5281
期刊: 2011 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC)
起始頁: 350
結束頁: 354
Appears in Collections:Conferences Paper