Muscle Co-Contraction Detection in the Time–Frequency Domain [PDF]
Sensors, 2022 Background: Muscle co-contraction plays a significant role in motion control. Available detection methods typically only provide information in the time domain.
Francesco Di Nardo +3 more
doaj +3 more sources
Recommendations and publication guidelines for studies using frequency domain and time-frequency domain analyses of neural time series. [PDF]
Psychophysiology, 2022 Since its beginnings in the early 20th century, the psychophysiological study of human brain function has included research into the spectral properties of electrical and magnetic brain signals.
Keil A +10 more
europepmc +2 more sources
Arrhythmia Disease Diagnosis Based on ECG Time-Frequency Domain Fusion and Convolutional Neural Network. [PDF]
IEEE J Transl Eng Health Med, 2023 Electrocardiogram (ECG) signals are often used to diagnose cardiac status. However, most of the existing ECG diagnostic methods only use the time-domain information, resulting in some obviously lesion information in frequency-domain of ECG signals are ...
Wang B +8 more
europepmc +2 more sources
Global energy markets connectedness: evidence from time-frequency domain. [PDF]
Environ Sci Pollut Res Int, 2023 We examine the presence of dependence across 51 energy markets classified into different regions from Jan 2007 to June 2021. In order to examine the presence of dependence across different energy markets, we apply standard and threshold dependence ...
Rehman MU, Naeem MA, Ahmad N, Vo XV.
europepmc +2 more sources
Rotating Machinery Fault Diagnosis Method by Combining Time-Frequency Domain Features and CNN Knowledge Transfer. [PDF]
Sensors (Basel), 2021 Aiming at the problem of fault diagnosis when there are only a few labeled samples in the large amount of data collected during the operation of rotating machinery, this paper proposes a fault diagnosis method based on knowledge transfer in deep learning.
Ye L, Ma X, Wen C.
europepmc +2 more sources
A Time–Frequency Domain Analysis Method for Variable Frequency Hopping Signal [PDF]
SensorsA variable frequency hopping (VFH) signal is a kind of frequency hopping (FH) signal that varies both in frequency and dwell time. However, in radio surveillance, the existing methods for unidentified signals using VFH cannot be effectively handled.
Zhengzhi Zeng +3 more
doaj +2 more sources
A Time–Frequency Domain Diagnosis Network for ICE Fault Detection [PDF]
SensorsInternal combustion engines (ICEs) are prone to faults such as abnormal injection pressure and valve clearance, but traditional diagnosis methods struggle with feature extraction and require large data volumes, limiting real-time applications.
Daijie Tang +3 more
doaj +2 more sources
Time-frequency domain analysis of investor fear and expectations in stock markets of BRIC economies. [PDF]
Heliyon, 2021 Owusu Junior P +5 more
europepmc +2 more sources
Rolling Bearing Fault Diagnosis via Meta-BOHB Optimized CNN-Transformer Model and Time-Frequency Domain Analysis. [PDF]
Sensors (Basel)Wang Y, Jiang H, Tong B, Song S.
europepmc +3 more sources
TF-GRIDNET: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022 We propose TF-GridNet, a novel multi-path deep neural network (DNN) operating in the time-frequency (T-F) domain, for monaural talker-independent speaker separation in anechoic conditions. The model stacks several multi-path blocks, each consisting of an
Zhong-Qiu Wang +5 more
semanticscholar +1 more source