Mixture quantized error entropy for recursive least squares adaptive filtering
Error entropy is a well-known learning criterion in information theoretic learning (ITL), and it
has been successfully applied in robust signal processing and machine learning. To date …
has been successfully applied in robust signal processing and machine learning. To date …
Channel Parameter Estimation in the Presence of Phase Noise Based on Maximum Correntropy Criterion
A Alizadeh, S Pakravan, G Abed Hodtani - Circuits, Systems, and Signal …, 2024 - Springer
Phase noise (PN) is a prevalent challenge in oscillator-driven systems, leading to spectral
dispersion of the power spectral density (PSD) around a Dirac delta function. This paper …
dispersion of the power spectral density (PSD) around a Dirac delta function. This paper …
A Novel SVD Noise Cancellation Algorithm for ICG Signal
B Hadjer, K Salim - 2021 IEEE 6th International Conference on …, 2021 - ieeexplore.ieee.org
The impedance cardiography (ICG) is a noninvasive technique, simple, easy, and cheaper
for measuring systolic time intervals, it provides information about the cardiovascular …
for measuring systolic time intervals, it provides information about the cardiovascular …