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Exact(9)
The resulted estimator is called the maximum correntropy criterion Kalman filter (MCC-KF).
We aim at evaluating the estimation potential of recently presented filters grounded in the Maximum Correntropy Criterion (MCC).
The filters designed under the maximum correntropy criterion (MCC) utilize a similarity measure (or correntropy) between two random variables as a cost function.
By exploiting the maximum correntropy criterion which is inherently insensitive to the impulsive noise, a weighting vector is derived to automatically mitigate the effect of the distorted narrowband signals, and a robust group compressive sensing approach is developed to achieve reliable DOA estimation.
Maximum Correntropy Criterion.
The maximum of correntropy error in (9) is called the maximum correntropy criterion (MCC) [ 29].
Similar(51)
Firstly, the maximum correntropy is adopted to design the new deep autoencoder loss function for the enhancement of feature learning from the measured vibration signals.
Recent developments in the realm of state estimation of stochastic dynamic systems in the presence of non-Gaussian noise have induced a new methodology called the maximum correntropy filtering.
DA is improved in two aspects: 1) a new cost function based on maximum correntropy and sparse penalty is designed to learn sparse robust features; 2) a fine-tuning operation with a self-adaptive learning rate is developed to ensure the good convergence performance.
Several failure criteria, including the maximum stress failure criterion, Tsai-Wu failure criterion, and Hashin-type criterion, and several material degradation models were compared.
Based on the content of correntropy, a new cost function, referred to as maximum correntopy criterion (MCC), is proposed in [22] that achieves robust results for observations corrupted with non-Gaussian noise and other types of outlier observations.
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