Results 41 to 50 of about 1,586 (236)
Application of Local Histogram Clipping Equalization Image Enhancement in Bearing Fault Diagnosis
IEEE Access, 2022 Aiming at the problem that the time-frequency image of bearing fault characteristics is relatively weak and difficult to identify. This paper presents a time-frequency analysis method of local maximum synchrosqueezing transform based on image enhancement.
Zhiqiang Zeng +3 more
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Sensors, 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
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Shanghai 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
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Statistical analysis of synchrosqueezed transforms [PDF]
Applied and Computational Harmonic Analysis, 2018 Synchrosqueezed transforms are non-linear processes for a sharpened time-frequency representation of wave-like components. They are efficient tools for identifying and analyzing wave-like components from their superposition. This paper is concerned with the statistical properties of compactly supported synchrosqueezed transforms for wave-like ...
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Econometrics, 2015 We provide a new framework for modeling trends and periodic patterns in high-frequency financial data. Seeking adaptivity to ever-changing market conditions, we enlarge the Fourier flexible form into a richer functional class: both our smooth trend and ...
Thibault Vatter +3 more
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Making Synchrosqueezing Locally Adaptive in The Time-Frequency Plane
, 2023 International audienceIn this work, we explore the problem of making synchrosqueezing transform adaptive. To deal with multicomponent signals, existing methods use a fixed order N , thus assuming all the modes making up the signal have order N polynomial
Colominas, Marcelo, Meignen, Sylvain
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A New Adaptive Technique for Multicomponent Signals Reassignment Based on Synchrosqueezing Transform
, 2022 International audienceIn this paper, we tackle the issue of making adaptive the reassignment of multicomponent signals using synchrosqueezing transforms. Indeed, depending on the frequency modulation of the modes making up these signals, the reassignment
Meignen, Sylvain +3 more
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On Demodulation, Ridge Detection, and Synchrosqueezing for Multicomponent Signals [PDF]
IEEE Transactions on Signal Processing, 2017 In this paper, we present a novel technique for the retrieval of the modes of a multicomponent signal using a time-frequency (TF) representation of the signal. Our approach is based on a novel ridge extraction method that takes into account the fact that the TF representation is both discrete in time and frequency, followed by a demodulation procedure.
Sylvain Meignen +2 more
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Post-Earthquake Damage Identification of Buildings with LMSST
Buildings, 2023 The structure is said to be damaged if there is a permanent shift in the post-event natural frequency of a structure as compared with the pre-event frequency. To assess the damage to the structure, a time-frequency approach that can capture the pre-event
Roshan Kumar +2 more
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Shock and Vibration, 2022 To extract any information from a complex data vibration, the time-frequency technique represents a suitable tool and a better indicator of the overall asset health of a rotating machine. Fluid influences on a cracked driveshaft and dynamic analysis of a
Bernard Xavier Tchomeni Kouejou +1 more
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