Results 1 to 10 of about 15,965 (115)

Borneo Lute ‘Sape’: The Frequency Spectrum and Time Frequency Analysis (TFA)

BioResources, 2023
Sound elements were studied for a six strings sape, a traditional instrument. The frequency was evaluated using a frequency spectrum and a time frequency plane. PicoScope oscilloscopes and Adobe Audition version 3 were used to record the acoustic spectra.
Sinin Hamdan, Khairul Anwar Mohamad Said, Md Rezaur Rahman, Marini Sawawia, Aaliyawani Ezzerin Sinin   +4 more
doaj   +4 more sources

Performance Analysis of Advanced Feature Extraction Methods for Manufacturing Defect Detection via Vibration Sensors in CNC Milling Machines [PDF]

Sensors
This study investigates the effectiveness of various feature extraction methods applied to vibration signals for the automatic detection of production defects in CNC (Computerised Numerical Control) milling machines.
Gürkan Bilgin
doaj   +2 more sources

STFT-based multisynchrosqueezing transform using a second-order signal model for seismic data analysis [PDF]

Scientific Reports
Since time-frequency analysis (TFA) technique can reveal the local properties of seismic signals, it has been widely applied in seismic data analysis.
Bing Pingping, Ma Yabin, Wang Zichun, Jiang Yetao, Liu Wei   +4 more
doaj   +2 more sources

Opioid-associated modulation of respiratory-related cortical activity in dyspnoeic mechanically ventilated patients: An electroencephalographic study [PDF]

Annals of Intensive Care
Background: Dyspnoea is frequent in mechanically ventilated patients and contributes to substantial distress and a heightened risk of post-traumatic stress disorder. It attests to respiratory-related brain suffering that must be actively managed. This is
Suela Demiri, Xavier Navarro-Suné, Marie-Cécile Niérat, Nicolas Wattiez, Maxens Decavèle, Côme Bureau, Sébastien Campion, Alexandre Demoule, Mario Chavez, Mathieu Raux, Thomas Similowski   +10 more
doaj   +2 more sources

A Multistage Detection Framework Based on TFA and Multiframe Correlation for HFSWR

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Maritime surveillance heavily relies on high-frequency surface wave radar (HFSWR) systems. However, clutter and interference make it difficult to accurately detect vessel targets using a single-frame detection method.
Zongtai Li, Gangsheng Li, Ling Zhang, Lanjun Liu, Q. M. Jonathan Wu   +4 more
doaj   +3 more sources

Local maximum synchrosqueezes form scaling-basis chirplet transform

PLoS ONE, 2022
In recent years, time-frequency analysis (TFA) methods have received widespread attention and undergone rapid development. However, traditional TFA methods cannot achieve the desired effect when dealing with nonstationary signals.
Yating Hou, Liming Wang, Xiuli Luo, Xingcheng Han   +3 more
doaj   +2 more sources

Advances in Time-Frequency Analysis for Blind Source Separation: Challenges, Contributions, and Emerging Trends

IEEE Access, 2023
Blind source separation (BSS) is a critical task in untangling non-stationary signals without prior information. This paper extensively explores diverse time-frequency analysis (TFA) methods within BSS systems over the past decade.
Yangyang Li, Dzati Athiar Ramli
doaj   +1 more source

A combined generalized Warblet transform and second order synchroextracting transform for analyzing nonstationary signals of rotating machinery

Scientific Reports, 2021
In recent years, considerable attention has been paid in time–frequency analysis (TFA) methods, which is an effective technology in processing the vibration signal of rotating machinery. However, TFA techniques are not sufficient to handle signals having
Kai Wei, Xuwen Jing, Bingqiang Li, Chao Kang, Zhenhuan Dou, Jinfeng Liu, Yu Chen, Hainan Zheng   +7 more
doaj   +1 more source

Parameterized Local Maximum Synchrosqueezing Transform and its Application in Engineering Vibration Signal Processing

IEEE Access, 2021
The time-frequency (TF) analysis (TFA) method is an effective tool for analyzing the time-variant features of non-stationary signals. Synchrosqueezing transform (SST) is a promising TFA method that has recently shown its usefulness in a wide range of ...
Zhenfeng Huang, Dahuan Wei, Zhiwei Huang, Hanling Mao, Xinxin Li, Rui Huang, Pengwei Xu   +6 more
doaj   +1 more source

Revising the application of cross-spectrum processing in motion parameter estimation for harmonic sources

Frontiers in Physics, 2022
Single-receiver motion parameter estimation is an effective and economical technology for passive source localization and train-bearing fault diagnosis, in which time-consuming time-frequency analysis (TFA) methods are widely used to suppress noise when ...
Ningning Liang, Ningning Liang, Jianbo Zhou, Jianbo Zhou, Yixin Yang, Yixin Yang   +5 more
doaj   +1 more source