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- W3134991738 abstract "As a new kind of method using localized similarity measure by kernel function, maximum correntropy criterion has the better performance in the environment of non-Gaussian noise. And in order to accelerate the convergence speed of the algorithm, this paper introduces a variable step size method inspired by maximum correntropy criterion, proposes a variable step size distributed algorithm based on maximum correlation criterion (VSS-DMCC). Simulation results show that our algorithm has smaller steady-state error and faster convergence speed than the minimum mean square variable step size distributed algorithm (VSS-DLMS) and maximum correntropy criterion distributed algorithm (DMCC)." @default.
- W3134991738 created "2021-03-15" @default.
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- W3134991738 date "2021-01-22" @default.
- W3134991738 modified "2023-09-27" @default.
- W3134991738 title "Diffusion Variable Step Size Algorithm Based on Maximum Correntropy Criterion" @default.
- W3134991738 cites W1751209994 @default.
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- W3134991738 doi "https://doi.org/10.1109/icpeca51329.2021.9362673" @default.
- W3134991738 hasPublicationYear "2021" @default.
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