Results 11 to 20 of about 1,401 (153)
Comparative Application of Time-Frequency Methods on Strong Motion Signals
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
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Harmonics and Interharmonics Detection Based on Synchrosqueezing Adaptive S-Transform
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
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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
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K-Complex Detection Based on Synchrosqueezing Transform [PDF]
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
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Seismic Time-Frequency Analysis Based on Time-Reassigned Synchrosqueezing Transform
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
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Instantaneous Frequency-Embedded Synchrosqueezing Transform for Signal Separation
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
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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
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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
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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
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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
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