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Frequency estimation plays a critical role in vital sign monitoring. Methods based on Fourier transform and eigen-analysis are commonly adopted techniques for frequency estimation.
Yue-Der Lin +3 more
doaj +1 more source
A tutorial review on time-frequency analysis of non-stationary vibration signals with nonlinear dynamics applications [PDF]
Time-frequency analysis (TFA) for mechanical vibrations in non-stationary operations is the main subject of this article, concisely written to be an introducing tutorial comparing different time-frequency techniques for non-stationary signals. The theory
Varanis, Marcus +3 more
core +1 more source
Nyquist Folding Receiver (NYFR) is a perceptron structure that realizes a low probability of intercept (LPI) signal analog to information. Aiming at the problem of LPI radar signal receiving, the time domain, frequency domain, and time-frequency domain ...
Tao Wan, Kai-li Jiang, Hao Ji, Bin Tang
doaj +1 more source
Time-feature attention-based convolutional auto-encoder for flight feature extraction
Quick Access Recorders (QARs) provide an important data source for Flight Operation Quality Assurance (FOQA) and flight safety. It is generally characterized by large volume, high-dimensionality and high frequency, and these features result in extreme ...
Qixin Wang +4 more
doaj +1 more source
Introduction: Aptamers are valuable for bioassays, but aptamer-target binding is susceptible to reaction conditions. In this study, we combined thermofluorimetric analysis (TFA) and molecular dynamics (MD) simulations to optimize aptamer-target binding ...
Hong-Li Zhang +7 more
doaj +1 more source
Prevention of spinal cord injury with time-frequency analysis of evoked potentials: An experimental study [PDF]
Objectives - To verify the applicability and validity of time-frequency analysis (TFA) of evoked potential (EP) signals in detecting the integrity of spinal cord function and preventing spinal cord injury.
Holmes, A +4 more
core +1 more source
Local polynomial modeling of time-varying autoregressive models with application to time-frequency analysis of event-related EEG [PDF]
This paper proposes a new local polynomial modeling (LPM) method for identification of time-varying autoregressive (TVAR) models and applies it to time-frequency analysis (TFA) of event-related electroencephalogram (ER-EEG).
Z G Zhang +5 more
core +1 more source
Time-Frequency Analysis Methods for Power Quality Disturbances Feature Representation
Power quality (PQ) analysis is the foundation of power system automation. The premise of power quality analysis is feature representation of power quality events. Time-frequency analysis (TFA) is very suitable for nonstationary signals analysis.
Jia Jin Qi +3 more
core +1 more source
Time-frequency analysis (TFA) can provide relevant information about subsurface reservoirs, which is essential in reservoir identification. Traditional TFA methods are limited by resolution, resulting in unreliable seismic interpretation.
Qiuxiang Zhu +4 more
doaj +1 more source
Time-frequency component analysis of somatosensory evoked potentials in rats [PDF]
Background Somatosensory evoked potential (SEP) signal usually contains a set of detailed temporal components measured and identified in a time domain, giving meaningful information on physiological mechanisms of the nervous system.
Chan Shing-Chow +14 more
core +1 more source

