Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
The sliding singular spectrum analysis: A data-driven nonstationary signal decomposition tool
Singular spectrum analysis (SSA) is a signal decomposition technique that aims at
expanding signals into interpretable and physically meaningful components (eg, sinusoids …
expanding signals into interpretable and physically meaningful components (eg, sinusoids …
Time-varying characteristics of bridges under the passage of vehicles using synchroextracting transform
The vehicle and bridge responses in a vehicle-bridge interaction (VBI) system have been
widely studied with some aiming at the bridge health monitoring. The extraction of bridge …
widely studied with some aiming at the bridge health monitoring. The extraction of bridge …
Gaussian-modulated linear group delay model: Application to second-order time-reassigned synchrosqueezing transform
This paper considers the analysis of impulsive-like signals whose time-frequency ridge
curves are nearly perpendicular to the time axis. Although the instantaneous frequency of …
curves are nearly perpendicular to the time axis. Although the instantaneous frequency of …
[HTML][HTML] Improved variational mode decomposition and CNN for intelligent rotating machinery fault diagnosis
Q **ao, S Li, L Zhou, W Shi - Entropy, 2022 - mdpi.com
This paper proposes an intelligent diagnosis method for rotating machinery faults based on
improved variational mode decomposition (IVMD) and CNN to process the rotating …
improved variational mode decomposition (IVMD) and CNN to process the rotating …
[HTML][HTML] On the use of concentrated time–frequency representations as input to a deep convolutional neural network: Application to non intrusive load monitoring
Since decades past, time–frequency (TF) analysis has demonstrated its capability to
efficiently handle non-stationary multi-component signals which are ubiquitous in a large …
efficiently handle non-stationary multi-component signals which are ubiquitous in a large …
Second-order time-reassigned synchrosqueezing transform: Application to draupner wave analysis
This paper addresses the problem of efficiently jointly representing a non-stationary
multicomponent signal in time and frequency. We introduce a novel enhancement of the …
multicomponent signal in time and frequency. We introduce a novel enhancement of the …
Second-order transient-extracting transform with application to time-frequency filtering
This article introduces the second-order transient-extracting transform (TET2) to extract
transient components from a nonstationary signal. Different from the traditional transient …
transient components from a nonstationary signal. Different from the traditional transient …
Multipath interference removal in receivers of linear frequency modulated radar pulses
The article describes algorithms for the retrieval of linear frequency modulated (LFM) pulses
from a received signal which is corrupted by noise and multipath reflections from ground and …
from a received signal which is corrupted by noise and multipath reflections from ground and …
Instantaneous frequency and amplitude estimation in multicomponent signals using an em-based algorithm
This paper addresses the problem of estimating the instantaneous frequency (IF) and
amplitude of the modes composing a non-stationary multicomponent signal in the presence …
amplitude of the modes composing a non-stationary multicomponent signal in the presence …
Second-Order Adaptive Synchrosqueezing Transform and Its Application in Seismic Ground Roll Attenuation
The time-frequency (TF) analysis always plays a major role in signal processing. In this
letter, we propose a novel TF analysis method called the second-order adaptive …
letter, we propose a novel TF analysis method called the second-order adaptive …