F-Value Time-Frequency Analysis: Between-Within Variance Analysis [PDF]
Frontiers in Neuroscience, 2021 Studies on brain mechanisms enable us to treat various brain diseases and develop diverse technologies for daily life. Therefore, an analysis method of neural signals is critical, as it provides the basis for many brain studies.
Hong Gi Yeom, Hyundoo Jeong
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Enhancing Time-Frequency Analysis with Zero-Mean Preprocessing [PDF]
Sensors, 2022 Side-channel analysis is a critical threat to cryptosystems on the Internet of Things and in relation to embedded devices, and appropriate side-channel countermeasure must be required for physical security.
Sunghyun Jin +3 more
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Exploring neural mechanisms of gender differences in bodily emotion recognition: a time-frequency analysis and network analysis study [PDF]
Frontiers in NeuroscienceBackgroundThis study aimed to explore the neural mechanisms underlying gender differences in recognizing emotional expressions conveyed through body language.
Tingwei Feng +4 more
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Electronics Letters, 2023 Estimating instantaneous frequencies (IFs) overlapped in both time and frequency domains is an important issue in time‐frequency (TF) analysis. In this letter, the TF information of the signal in fractional domain is combined with an optimization ...
Liyun Xu, Wei Li
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Time-frequency analysis of tremors [PDF]
Brain, 1998 Time-frequency analysis methods were applied to surface EMG records of patients with tremor. Variation in tremor frequency over time and between muscles was measured in subjects with Parkinson's disease (n = 20), essential tremor (n = 8) and psychogenic tremor (n = 7).
P E, O'Suilleabhain, J Y, Matsumoto
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A general theory on frequency and time–frequency analysis of irregularly sampled time series based on projection methods – Part 2: Extension to time–frequency analysis [PDF]
Nonlinear Processes in Geophysics, 2018 Geophysical time series are sometimes sampled irregularly along the time axis. The situation is particularly frequent in palaeoclimatology. Yet, there is so far no general framework for handling the continuous wavelet transform when the time sampling ...
G. Lenoir, M. Crucifix, M. Crucifix
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A general theory on frequency and time–frequency analysis of irregularly sampled time series based on projection methods – Part 1: Frequency analysis [PDF]
Nonlinear Processes in Geophysics, 2018 We develop a general framework for the frequency analysis of irregularly sampled time series. It is based on the Lomb–Scargle periodogram, but extended to algebraic operators accounting for the presence of a polynomial trend in the model for the data,
G. Lenoir, M. Crucifix, M. Crucifix
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Feature Extraction Methods for Electroretinogram Signal Analysis: A Review
IEEE Access, 2021 Feature extraction is an essential aspect of electroretinogram (ERG) signal analysis. The extracted features are beneficial to analyze the signal further and compress the signal for storage or transmission purposes.
Soroor Behbahani +2 more
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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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Borneo Lute ‘Sape’: The Frequency Spectrum and Time Frequency Analysis (TFA)
BioResources, 2023 Sound elements were studied for a six strings sape, a traditional instrument. The frequency was evaluated using a frequency spectrum and a time frequency plane. PicoScope oscilloscopes and Adobe Audition version 3 were used to record the acoustic spectra.
Sinin Hamdan +4 more
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