2017
DOI: 10.1109/access.2017.2651144
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General Mixed-Norm-Based Diffusion Adaptive Filtering Algorithm for Distributed Estimation Over Network

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Cited by 27 publications
(7 citation statements)
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“…Adaptive diffusion strategy based on MMSE criterion has been studied in previous studies [21], [22], [34], [39] for single-task problems, which seek the optimal linear estimator w o that minimizes the following global cost function:…”
Section: B Adaptive Diffusion Strategymentioning
confidence: 99%
“…Adaptive diffusion strategy based on MMSE criterion has been studied in previous studies [21], [22], [34], [39] for single-task problems, which seek the optimal linear estimator w o that minimizes the following global cost function:…”
Section: B Adaptive Diffusion Strategymentioning
confidence: 99%
“…The original and decimated sequences are denoted by variables l and k respectively, where l = kI. As we know, DSAF algorithms can be divided into two types, namely (Adapt-then-Combine) ATC and (Combine-then-Adapt) CTA [37]. In general, ATC performs better than CTA, and hence, the ATC type is employed herein.…”
Section: Review Of the Dsaf Algorithmmentioning
confidence: 99%
“…To handle outliers in the desired data, many robust techniques based on robust statistics have been reported in the literature. The techniques based on Wilcoxon norm [25–29 ], Huber loss [30–32 ], error non‐linearity [33, 34 ], Lorentzian norm [35 ], maximum correntropy criterion [36 ], the least logarithmic absolute difference [37 ], least mean p‐power [38, 39 ], minimum disturbance [40 ] and mixed p ‐norm [41, 42 ] are found to be robust against outliers in the desired data. However, all these methods assume that the input data is uncontaminated, which may not be true in the practical scenarios.…”
Section: Introductionmentioning
confidence: 99%