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The state-of-the-art on time-frequency signal processing techniques for high-resolution representation of nonlinear systems in engineering
One of the serious issues of traditional signal processing techniques in analyzing the
responses of real-life structures is related to the presentation of fundamental information of …
responses of real-life structures is related to the presentation of fundamental information of …
[HTML][HTML] Sensor networks for structures health monitoring: Placement, implementations, and challenges—A review
The development of structural health monitoring (SHM) systems and their integration in
actual structures has become a necessity as it can provide a robust and low-cost solution for …
actual structures has become a necessity as it can provide a robust and low-cost solution for …
Recurrent neural network model with Bayesian training and mutual information for response prediction of large buildings
An accurate response prediction model is of great importance in various applications such
as damage detection, structural health monitoring, and vibration control. Development of …
as damage detection, structural health monitoring, and vibration control. Development of …
Novel wavelet threshold denoising method to highlight the first break of noisy microseismic recordings
H Li, J Shi, L Li, X Tuo, K Qu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
We proposed a novel wavelet threshold denoising method based on the discrete wavelet
transform for noisy microseismic recordings. This algorithm can simultaneously suppress …
transform for noisy microseismic recordings. This algorithm can simultaneously suppress …
A novel underwater acoustic signal denoising algorithm for Gaussian/non-Gaussian impulsive noise
J Wang, J Li, S Yan, W Shi, X Yang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Gaussian/non-Gaussian impulsive noises in underwater acoustic (UWA) channel seriously
impact the quality of underwater acoustic communication. The common denoising …
impact the quality of underwater acoustic communication. The common denoising …
Rolling element bearing fault diagnosis under slow speed operation using wavelet de-noising
Rolling element bearing is widely used in rotating machines and any bearing defect therein
can severely affect the overall machine performance. Vibration monitoring is often used to …
can severely affect the overall machine performance. Vibration monitoring is often used to …
Optimum wavelet selection for nonparametric analysis toward structural health monitoring for processing big data from sensor network: A comparative study
A critical problem encountered in structural health monitoring of civil engineering structures,
and other structures such as mechanical or aircraft structures, is how to convincingly analyze …
and other structures such as mechanical or aircraft structures, is how to convincingly analyze …
ECG signal de-noising and baseline wander correction based on CEEMDAN and wavelet threshold
Y Xu, M Luo, T Li, G Song - Sensors, 2017 - mdpi.com
A novel electrocardiogram (ECG) signal de-noising and baseline wander correction method
based on complete ensemble empirical mode decomposition with adaptive noise …
based on complete ensemble empirical mode decomposition with adaptive noise …
Liveness is not enough: Enhancing fingerprint authentication with behavioral biometrics to defeat puppet attacks
Fingerprint authentication has gained increasing popularity on mobile devices in recent
years. However, it is vulnerable to presentation attacks, which include that an attacker …
years. However, it is vulnerable to presentation attacks, which include that an attacker …
[HTML][HTML] Reviews on innovations and applications in structural health monitoring for infrastructures
The developments and implementations of the structural health monitoring (SHM) system for
large infrastructures have been gradually recognized by researchers, engineers and …
large infrastructures have been gradually recognized by researchers, engineers and …