Title
Fast Maximum Likelihood Scale Parameter Estimation From Histogram Measurements.
Abstract
In this letter, we address the problem of estimating a parameter acting as a scale factor on the observations probability density function (pdf), i.e. a scale parameter. Histogram based Maximum Likelihood (ML) estimation of a scale parameter requires the evaluation of a discrete scale correlation. We show how ML estimation can be implemented by means of a computationally efficient Discrete Fourier...
Year
DOI
Venue
2011
10.1109/LSP.2011.2159787
IEEE Signal Processing Letters
Keywords
Field
DocType
Maximum likelihood estimation,Histograms,Correlation,Discrete Fourier transforms,Reactive power,Random variables
Scale factor,Cramér–Rao bound,Histogram,Mathematical optimization,Random variable,Estimation theory,Discrete Fourier transform,Mathematics,Scale parameter,Estimator
Journal
Volume
Issue
ISSN
18
8
1070-9908
Citations 
PageRank 
References 
0
0.34
6
Authors
3
Name
Order
Citations
PageRank
Stefania Colonnese113726.43
Stefano Rinauro2508.72
Gaetano Scarano320931.32