A multi-channel UNet framework based on SNMF-DCNN for robust heart-lung-sound separation

W Wang, D Qin, S Wang, Y Fang, Y Zheng - Computers in biology and …, 2023 - Elsevier
Cardiopulmonary and cardiovascular diseases are fatal factors that threaten human health
and cause many deaths worldwide each year, so it is essential to screen cardiopulmonary …

Short-time Fourier transform with the window size fixed in the frequency domain

C Mateo, JA Talavera - Digital Signal Processing, 2018 - Elsevier
Abstract The Short-Time Fourier Transform (STFT) is widely used to convert signals from the
time domain into a time–frequency representation. This representation has well-known …

[HTML][HTML] Main frequency band of blast vibration signal based on wavelet packet transform

G Chen, QY Li, DQ Li, ZY Wu, Y Liu - Applied Mathematical Modelling, 2019 - Elsevier
As a key parameter in blasting safety criteria, accurately describing the frequency's
characteristics is of practical significance. Due to the deficiency of Fourier transform in the …

A review on the signal processing methods of rotating machinery fault diagnosis

S Li, Y Xin, X Li, J Wang, K Xu - 2019 IEEE 8th Joint …, 2019 - ieeexplore.ieee.org
As the core component of rotating machinery, the complex loads and sustained rotations in
the harsh conditions are prone to multiple faults. It is the primary researching that extracting …

Autofoley: Artificial synthesis of synchronized sound tracks for silent videos with deep learning

S Ghose, JJ Prevost - IEEE Transactions on Multimedia, 2020 - ieeexplore.ieee.org
In movie productions, the Foley artist is responsible for creating an overlay soundtrack that
helps the movie come alive for the audience. This requires the artist identify sounds that …

[HTML][HTML] Deep learning assisted neonatal cry classification via support vector machine models

PM Vincent, K Srinivasan, CY Chang - Frontiers in Public Health, 2021 - frontiersin.org
Neonatal infants communicate with us through cries. The infant cry signals have distinct
patterns depending on the purpose of the cries. Preprocessing, feature extraction, and …

An efficient short-time Fourier transform algorithm for grinding wheel condition monitoring through acoustic emission

WN Lopes, POC Junior, PR Aguiar… - … International Journal of …, 2021 - Springer
Indirect methods to monitor the surface integrity of grinding wheels by acoustic emission
(AE) have been proposed, aiming to ensure their optimal performance. However, the time …

Improving purity of blasting vibration signals using advanced Empirical Mode Decomposition and Wavelet packet technique

Z Zhou, J Zhang, R Cheng, Y Rui, X Cai, L Chen - Applied Acoustics, 2022 - Elsevier
The study proposes a denoising method based on Complete Ensemble Empirical Mode
Decomposition with Adaptive Noise (CEEMDAN) and Wavelet packet threshold denoising …

Locally optimized adaptive directional time–frequency distributions

M Mohammadi, AA Pouyan, NA Khan… - Circuits, Systems, and …, 2018 - Springer
This paper addresses the problem of estimating the parameters of adaptive directional time–
frequency distributions (ADTFDs). ADTFDs locally optimize the direction of the smoothing …

DMMAN: A two-stage audio–visual fusion framework for sound separation and event localization

R Hu, S Zhou, ZR Tang, S Chang, Q Huang, Y Liu… - Neural Networks, 2021 - Elsevier
Videos are used widely as the media platforms for human beings to touch the physical
change of the world. However, we always receive the mixed sound from the multiple sound …