Sampling Trajectories for the Short-Time Fourier Transform [PDF]
Journal of Fourier Analysis and Applications, 2022 AbstractWe study the problem of stable reconstruction of the short-time Fourier transform from samples taken from trajectories in $${\mathbb {R}}^2$$ R 2 .
Speckbacher M.
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Recasting the (Synchrosqueezed) Short-Time Fourier Transform as an Instantaneous Spectrum [PDF]
Entropy, 2022 In a previous work, we proposed a time-frequency analysis called instantaneous spectral analysis (ISA), which generalizes the notion of the Fourier spectrum and in which instantaneous frequency is utilized to the fullest extent.
Steven Sandoval, Phillip L. De Leon
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Radar Detection-Inspired Signal Retrieval from the Short-Time Fourier Transform [PDF]
Sensors, 2022 This paper presents a novel adaptive algorithm for multicomponent signal decomposition from the time–frequency (TF) plane using the short-time Fourier transform (STFT).
Karol Abratkiewicz
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Short-Time Fourier Transform Based on Metaprogramming and the Stockham Optimization Method [PDF]
Sensors, 2021 The extension for high-performance STFT (Short-Time Fourier Transform) algorithm written entirely in Java language for non-parallel computations is presented in the current paper.
Grzegorz Rybak, Krzysztof Strzecha
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Identifying Methamphetamine Abstainers With Convolutional Neural Networks and Short-Time Fourier Transform [PDF]
Frontiers in Psychology, 2021 Few studies have investigated the functional patterns of methamphetamine abstainers. A better understanding of the underlying neurobiological mechanism in the brains of methamphetamine abstainers will help to explain their abnormal behaviors.
Xin Lai +12 more
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Polynomial Phase Estimation Based on Adaptive Short-Time Fourier Transform [PDF]
Sensors, 2018 Polynomial phase signals (PPSs) have numerous applications in many fields including radar, sonar, geophysics, and radio communication systems. Therefore, estimation of PPS coefficients is very important. In this paper, a novel approach for PPS parameters
Fulong Jing +4 more
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2D Short-Time Fourier Transform for local morphological analysis of meibomian gland images. [PDF]
PLoS ONE, 2022 Meibography is becoming an integral part of dry eye diagnosis. Being objective and repeatable this imaging technique is used to guide treatment decisions and determine the disease status.
Kamila Ciężar, Mikolaj Pochylski
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Exercise fatigue diagnosis method based on short-time Fourier transform and convolutional neural network [PDF]
Frontiers in Physiology, 2022 Reasonable exercise is beneficial to human health. However, it is difficult for ordinary athletes to judge whether they are already in a state of fatigue that is not suitable for exercise.
Haiyan Zhu +3 more
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Electroretinogram Analysis Using a Short-Time Fourier Transform and Machine Learning Techniques [PDF]
BioengineeringElectroretinography (ERG) is a non-invasive method of assessing retinal function by recording the retina’s response to a brief flash of light. This study focused on optimizing the ERG waveform signal classification by utilizing Short-Time Fourier ...
Faisal Albasu +9 more
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Radar Emitter Recognition Based on the Energy Cumulant of Short Time Fourier Transform and Reinforced Deep Belief Network [PDF]
Sensors, 2018 To cope with the complex electromagnetic environment and varied signal styles, a novel method based on the energy cumulant of short time Fourier transform and reinforced deep belief network is proposed to gain a higher correct recognition rate for radar ...
Xuebao Wang +5 more
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