Results 11 to 20 of about 1,401 (153)

Comparative Application of Time-Frequency Methods on Strong Motion Signals

open access: yesAdvances in Civil Engineering, 2021
Real-world physical signals are commonly nonstationary, and their frequency details change with time and do not remain constant. Fourier transform that uses infinite sine/cosine waves as basis functions represents frequency constituents of signals but ...
Mohammad Ashtari Jafari
doaj   +1 more source

Harmonics and Interharmonics Detection Based on Synchrosqueezing Adaptive S-Transform

open access: yesEnergies, 2022
The integration of renewable energy generation and nonlinear power electronic equipment into the grid brings about complex harmonics and interharmonics problems.
Zhaoyu Lou   +3 more
doaj   +1 more source

A Novel Fault Diagnosis Approach for Rolling Bearing Based on High-Order Synchrosqueezing Transform and Detrended Fluctuation Analysis

open access: yesIEEE Access, 2020
Time-frequency analysis always plays an important role in machine health monitoring owing to its advantage in extracting the fault information contained in non-stationary signal.
Wei Liu, Wei Chen, Zhihua Zhang
doaj   +1 more source

K-Complex Detection Based on Synchrosqueezing Transform [PDF]

open access: yesAUT Journal of Electrical Engineering, 2017
K-complex is an underlying pattern in the sleep EEG. Due to the role of sleep studies inneurophysiologic and cognitive disorders diagnosis, reliable methods for analysis and detection of this patternare of great importance.
Z. Ghanbari, M. H. Moradi
doaj   +1 more source

Seismic Time-Frequency Analysis Based on Time-Reassigned Synchrosqueezing Transform

open access: yesIEEE Access, 2021
In this paper, we propose a novel seismic time-frequency analysis method via the time-reassigned synchrosqueezing transform (TSST), in which the time-frequency coefficients are reassigned in the time direction rather than in the frequency direction as ...
Pingping Bing, Wei Liu, Yang Liu
doaj   +1 more source

Instantaneous Frequency-Embedded Synchrosqueezing Transform for Signal Separation

open access: yesFrontiers in Applied Mathematics and Statistics, 2022
The synchrosqueezing transform (SST) and its variants have been developed recently as an alternative to the empirical mode decomposition scheme to model a non-stationary signal as a superposition of amplitude- and frequency-modulated Fourier-like ...
Qingtang Jiang   +3 more
doaj   +1 more source

A High Quality Algorithm of Time-Frequency Analysis and Its Application in Radar Signal Target Detection via LMSCT

open access: yesShanghai Jiaotong Daxue xuebao, 2022
Aimed at the fact that the chirplet rate parameter of the chirplet transform (CT) cannot match the instantaneous frequency of the signal completely, and that the anti-noise performance of the algorithm is poor, this paper proposes a high-quality local ...
HAO Guocheng, ZHANG Bichao, GUO Juan, ZHANG Yabing, SHI Guangyao, WANG Panpan, ZHANG Wei
doaj   +1 more source

High-Precision and High-Resolution Synchrosqueezing Transform via Time-Frequency Instantaneous Phases

open access: yesApplied Sciences, 2021
Synchrosqueezing transform (SST) can effectively improve time-frequency precision and resolution by squeezing time-frequency spectra via instantaneous frequencies, and it has been applied in many diverse disciplines; however, the precision of estimated ...
Yong Li, Gulan Zhang
doaj   +1 more source

Acquiring Respiration Rate from Photoplethysmographic Signal by Recursive Bayesian Tracking of Intrinsic Modes in Time-Frequency Spectra

open access: yesSensors, 2018
Respiration rate (RR) provides useful information for assessing the status of a patient. We propose RR estimation based on photoplethysmography (PPG) because the blood perfusion dynamics are known to carry information on breathing, as respiration-induced
Mikko Pirhonen   +2 more
doaj   +1 more source

An Improved Multivariate Synchrosqueezing Wavelet Transform Denoising Method Using Subspace Projection

open access: yesIEEE Access, 2020
In recent years, the development of multi-sensor has emphasized the need to directly process multi-channel (multivariate) data. In this paper, a novel multivariate synchrosqueezing wavelet transform denoising method combined with subspace projection (SWT-
Peipei Cao, Huali Wang, Kaijie Zhou
doaj   +1 more source

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