A state-of-the-art survey on noise removal in a non-stationary signal using adaptive finite impulse response filtering: challenges, techniques, and applications
NK Yadav, A Dhawan, M Tiwari… - International Journal of …, 2024 - Taylor & Francis
An adaptive finite impulse response (FIR) filter is a key technique to remove noise in non-
stationary signals. With the rapid development of the various adaptive algorithms, it is both …
stationary signals. With the rapid development of the various adaptive algorithms, it is both …
Stochastic analysis of the Elo rating algorithm in round-robin tournaments
DG de Pinho Zanco, L Szczecinski, EV Kuhn… - Digital Signal …, 2024 - Elsevier
The Elo algorithm, renowned for its simplicity, is widely used for rating in sports tournaments
and other applications. However, despite its widespread use, a detailed understanding of …
and other applications. However, despite its widespread use, a detailed understanding of …
On the stochastic modeling of the LMS algorithm operating with bilinear forms
This paper presents a stochastic model of the least-mean-square for bilinear forms (LMS-BF)
algorithm in which the bilinear term is defined with respect to the temporal and spatial …
algorithm in which the bilinear term is defined with respect to the temporal and spatial …
The diffusion least mean square algorithm with variable q-gradient
To avoid the local minima in optimization for distributed adaptive filters, the q-gradient
diffusion least mean square (q-DLMS) algorithm uses the q-gradient vector to estimate …
diffusion least mean square (q-DLMS) algorithm uses the q-gradient vector to estimate …
Stochastic Model for the LMS Algorithm with Symmetric/Antisymmetric Properties
This paper presents a stochastic model for the least-mean-square algorithm with symmetric/
antisymmetric properties (LMS-SAS), operating in a system identification setup with …
antisymmetric properties (LMS-SAS), operating in a system identification setup with …
Generalized amplitude-phase demodulation for isotropic image decomposition and analysis
G Xu, X Xu, X Wang - Digital Signal Processing, 2022 - Elsevier
It is well known that the amplitude-phase demodulation based on Hilbert transform (HT)
plays a fundamental role in signal processing. Also, the Bedrosian principle (BP), the key to …
plays a fundamental role in signal processing. Also, the Bedrosian principle (BP), the key to …
[PDF][PDF] Stochastic Model for the LMS Algorithm with Symmetric/Antisymmetric Properties. Symmetry 2022, 14, 1908
This paper presents a stochastic model for the least-mean-square algorithm with symmetric/
antisymmetric properties (LMS-SAS), operating in a system identification setup with …
antisymmetric properties (LMS-SAS), operating in a system identification setup with …
[引用][C] 충격잡음에강인한결합스텝크기연속혼합p-norm 알고리즘
이민호， 나현우， 이해성， 홍혜승， 박부견 - 대한전자공학회학술대회, 2022 - dbpia.co.kr
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