Results 21 to 30 of about 2,690,910 (259)
Remote Sensing, 2018 The maneuvering target echo of high-resolution radar can be expressed as a multicomponent polynomial phase signal (mc-PPS). However, with improvements in radar resolution and increases in the synthetic period, classical time frequency analysis methods ...
Guochao Lao +4 more
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Frequency Identification of Vibration Signals Using Video Camera Image Data
Sensors, 2012 This study showed that an image data acquisition system connecting a high-speed camera or webcam to a notebook or personal computer (PC) can precisely capture most dominant modes of vibration signal, but may involve the non-physical modes induced by the ...
Chia-Hung Wu, Yih-Nen Jeng
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Time frequency analysis of olfactory induced EEG-power change. [PDF]
PLoS ONE, 2017 The objective of the present study was to investigate the usefulness of time-frequency analysis (TFA) of olfactory-induced EEG change with a low-cost, portable olfactometer in the clinical investigation of smell function.A total of 78 volunteers ...
Valentin Alexander Schriever +5 more
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Seismic Time-Frequency Analysis Based on Time-Reassigned Synchrosqueezing Transform
IEEE 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
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Time–Frequency analysis of localization operators
Journal of Functional Analysis, 2003 Let \(T_x f\) and \(M_\omega f\) denote the translation \(T_x f(t)=f(t-x)\) and the modulation \(M_\omega f (t)=e^{2\pi i\omega t} f(t)\) operators, respectively, and let \(V_g (x, \omega)=\int_{\mathbb{R}^d} f(t)\overline{g(t-x)}e^{-2\pi i\omega t}dt\) denote the short-time Fourier transform of \(f\in {\mathcal S}^\prime (\mathbb{R}^d) \) with respect
Cordero, Elena, Gröchenig, Karlheinz
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Data-driven time–frequency analysis
Applied and Computational Harmonic Analysis, 2013 In this paper, we introduce a new adaptive data analysis method to study trend and instantaneous frequency of nonlinear and non-stationary data. This method is inspired by the Empirical Mode Decomposition method (EMD) and the recently developed compressed (compressive) sensing theory.
Hou, Thomas Y., Shi, Zuoqiang
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks +5 more
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Frontiers in NeuroscienceIntroductionSleep apnea and hypopnea syndrome (SAHS) is a prevalent disorder with profound adverse effects on health and overall quality of life, thereby necessitating the development of accurate and accessible screening tools.
Tianci Zhao +4 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Combined oral contraceptive (COC) use in obese adult women dramatically increases the relative risk of developing a pulmonary embolism (PE). The risk of a PE in obese adolescent females taking contraceptives is currently unknown. The purpose of this investigation was to determine the effect of body mass index (BMI) and contraceptive
John Puetz, Joanne Salas
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Robust sparse time‐frequency analysis for data missing scenarios
IET Signal Processing, 2023 Sparse time‐frequency analysis (STFA) can precisely achieve the spectrum of the local truncated signal. However, when the signal is disturbed by unexpected data loss, STFA cannot distinguish effective signals from missing data interferences.
Yingpin Chen, Yuming Huang, Jianhua Song
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