A fast threshold OMP based on self-learning dictionary for propeller signal reconstruction
YC Song, FY Wu, YY Ni, K Yang - Ocean Engineering, 2023 - Elsevier
The acquisition of propeller signals can be applied to localization and fault diagnosis, etc.
However, recording a large amount of propeller signals results in higher costs. Compressive …
However, recording a large amount of propeller signals results in higher costs. Compressive …
Steady-state mean-square performance analysis of the block-sparse maximum Versoria criterion
The maximum Versoria criterion algorithm (MVC) exhibits lower steady-state misalignment
and less complexity as compared to the maximum correntropy criterion (MCC) algorithm in …
and less complexity as compared to the maximum correntropy criterion (MCC) algorithm in …
A neighborhood-based multiple orthogonal least square method for sparse signal recovery
YC Song, FY Wu, R Peng - Signal Processing, 2023 - Elsevier
Orthogonal least squares (OLS) is a popular greedy algorithm because of its simplicity and
low complexity. To improve the reconstruction accuracy performance of OLS, the multiple …
low complexity. To improve the reconstruction accuracy performance of OLS, the multiple …
Optimal design of NLMS algorithm with a variable scaler against impulsive interference
FY Wu, YC Song - Signal, Image and Video Processing, 2023 - Springer
This study proposes a scaler for the normalized least-mean-square algorithm, which is
derived based on a cost function designed to retain robustness to a sudden change. A novel …
derived based on a cost function designed to retain robustness to a sudden change. A novel …
A Fast Kalman Equalizer for Single-Carrier Underwater Acoustic Communication
FY Wu, HZ Yang, Y Zhou, F Tong - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
One effective means to enhance the quality of underwater acoustic (UWA) communication is
to design a reasonable receiver. In this study, we propose a novel fast Kalman (FK) adaptive …
to design a reasonable receiver. In this study, we propose a novel fast Kalman (FK) adaptive …
Convex regularized recursive kernel risk-sensitive loss adaptive filtering algorithm and its performance analysis
BX Su, KD Yang, FY Wu, TH Liu, HZ Yang - Signal Processing, 2024 - Elsevier
In the context of channel estimation amid non-Gaussian impulse noise, traditional non-
kernel-space methods face challenges of divergence, while many kernel-space methods fail …
kernel-space methods face challenges of divergence, while many kernel-space methods fail …
A low-complexity error-feedback lattice-equalizer with phase tracking for underwater acoustic communications
FY Wu, HZ Yang, S Liu - The Journal of the Acoustical Society of …, 2024 - pubs.aip.org
Recursive least squares (RLS)–based equalizers are hindered by their high complexity in
underwater acoustic (UWA) communications. This article proposes an adaptive equalizer …
underwater acoustic (UWA) communications. This article proposes an adaptive equalizer …
Improved variable forgetting factor proportionate RLS algorithm with sparse penalty and fast implementation using DCD iterations
H Zhen, Z Fengrui, Z Yu, H Yanfeng… - China …, 2024 - ieeexplore.ieee.org
The proportionate recursive least squares (PRLS) algorithm has shown faster convergence
and better performance than both proportionate updating (PU) mechanism based least …
and better performance than both proportionate updating (PU) mechanism based least …
Enhanced Underwater Acoustic Channel Estimation using BSMVC Method
This paper introduces a novel approach, the Block Sparsity Constraint Maximum Versoria
Criterion (BSMVC) method, for precise underwater acoustic channel estimation. By …
Criterion (BSMVC) method, for precise underwater acoustic channel estimation. By …