Abstract | ||
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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 |
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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 Colonnese | 1 | 137 | 26.43 |
Stefano Rinauro | 2 | 50 | 8.72 |
Gaetano Scarano | 3 | 209 | 31.32 |