Title
Robust Estimation in Signal Processing: A Tutorial-Style Treatment of Fundamental Concepts.
Abstract
The word robust has been used in many contexts in signal processing. Our treatment concerns statistical robustness, which deals with deviations from the distributional assumptions. Many problems encountered in engineering practice rely on the Gaussian distribution of the data, which in many situations is well justified. This enables a simple derivation of optimal estimators. Nominal optimality, ho...
Year
DOI
Venue
2012
10.1109/MSP.2012.2183773
IEEE Signal Processing Magazine
Keywords
Field
DocType
Tutorials,Robustness,Gaussian distribution,Context awareness,Noise measurement,Area measurement,Signal processing algorithms
Signal processing,Noise measurement,Computer science,Theoretical computer science,Robustness (computer science),Artificial intelligence,Algorithm,Outlier,Gaussian,Independent and identically distributed random variables,Univariate,Machine learning,Estimator
Journal
Volume
Issue
ISSN
29
4
1053-5888
Citations 
PageRank 
References 
92
3.41
24
Authors
4
Name
Order
Citations
PageRank
Abdelhak M. Zoubir11036148.03
Visa Koivunen21917187.81
Yacine Chakhchoukh31037.18
Michael Muma414419.51