Title | ||
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Bayesian MMSE Estimation of a Gaussian Source in the Presence of Bursty Impulsive Noise. |
Abstract | ||
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In this letter, we derive the minimum mean square error (MMSE) optimal Bayesian estimation (OBE) for a Gaussian source, in the presence of bursty impulsive noise, as essentially encountered within power substations. Clearly, it is observed that the presence of bursty impulsive noise makes the input-output characteristics of MMSE OBE non-linear. To handle the non-linearity, we propose a novel MMSE ... |
Year | DOI | Venue |
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2018 | 10.1109/LCOMM.2018.2856746 | IEEE Communications Letters |
Keywords | Field | DocType |
Estimation,Bayes methods,Detectors,Receivers,Hidden Markov models,Gaussian noise,Probability density function | Upper and lower bounds,Computer science,Minimum mean square error,Algorithm,Real-time computing,Gaussian,Maximum a posteriori estimation,Bayes estimator,Gaussian noise,Estimator,Bayesian probability | Journal |
Volume | Issue | ISSN |
22 | 9 | 1089-7798 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Md. Sahabul Alam | 1 | 30 | 3.80 |
Georges Kaddoum | 2 | 874 | 94.42 |
Basile L. Agba | 3 | 56 | 10.33 |