Results 81 to 90 of about 707 (201)
Blind separation of asymmetric signals based on Synchrosqueezing Wavelet Transform
A blind separation algorithm based on synchronous squeezing wavelet transform is proposed to solve the blind separation problem of single channel asymmetric signals in satellite communications.
Peng Chuang, Yang Xiaojing, Zhang Yu
doaj +1 more source
Abstract Automated crack segmentation models are vital for infrastructure monitoring but fail when deployed in new domains. Overcoming this domain shift without costly re‐annotation is vital. This paper presents a novel unsupervised domain adaptation framework that uniquely integrates Fourier‐based style transfer with targeted morphological operators ...
Saheli Bhattacharya +4 more
wiley +1 more source
Abstract This study introduces a novel optimization framework based on the differentiable material point method (DiffMPM) for the identification of structural and loading parameters from dynamic structural monitoring data. Structural health monitoring (SHM) methodologies are often challenged by the need to interpret limited and noisy measurements for ...
Jeffrey Cheng +2 more
wiley +1 more source
Time–frequency analysis is an important tool used for the processing and interpretation of non-stationary signals, such as seismic data and remote sensing data.
Zhen Li +4 more
doaj +1 more source
Overview of the EEG‐based emotion classification framework. The process starts with EEG signal recording while subjects watch five emotional videos. The raw EEG data undergoes preprocessing, including noise and artifact removal, followed by segmentation, feature extraction, and selection.
Afshin S. Asl, Sahar Karimpour
wiley +1 more source
Finite Synchrosqueezing Transform Based On The STFT
The finite STFT Synchrosqueezing transform is a time-frequency analysis method that can decompose finite complex signals into time-varying oscillatory components. This representation is sparse and invertible, allowing recovery of the original signal.
Mohammadpour, Mozhgan +2 more
openaire +2 more sources
The Fourier-based Synchrosqueezing Transform
The short-time Fourier transform (STFT) and continuous wavelet transform (CWT) are intensively used to analyze and process multicomponent signals, ie superpositions of mod- ulated waves.
Perrier, Valérie +2 more
core
Wavelet-Enhanced Time-Frequency Analysis Method for Bearing Fault Detection of Rotating Machinery
In industrial settings, analyzing vibration signals from rolling bearings is a key method for diagnosing faults in rotating machinery. However, these faults often appear as a series of transient events with quickly changing frequencies, which makes it ...
Gang Yu +5 more
doaj +1 more source
Abstract This paper explores a novel methodology for identifying prestress force (and bending rigidity) from the perspective of static deflection methods and derives an incremental beam–column equation (iBCE) by elucidating the mechanisms underlying the long‐ and short‐term behaviors, with particular emphasis on a physical system that disregards long ...
Yifan Yang, Zengwei Guo, Zhiyuan Liu
wiley +1 more source
High-Order Adaptive Synchrosqueezing Transform
The prevalence of the separation of multicomponent non-stationary signals across many elds of research makes this concept an important subject of study. The synchrosqueezing transform (SST) is a particular type of reassignment method. It aims to separate
Alzahrani, Jawaher
core

