Results 1 to 10 of about 28,232,158 (243)
Time-frequency analysis methods and their application in developmental EEG data. [PDF]
Dev Cogn Neurosci, 2022 EEG provides a rich measure of brain activity that can be characterized as neuronal oscillations. However, most developmental EEG work to date has focused on analyzing EEG data as Event-Related Potentials (ERPs) or power based on the Fourier transform ...
Morales S, Bowers ME.
europepmc +2 more sources
The impact of COVID-19 on the G7 stock markets: A time-frequency analysis [PDF]
The North American Journal of Economics and Finance, 2021 We examine the co-movement of the G7 stock returns with the numbers of confirmed COVID-19 cases and causalities based on daily data from December 31, 2019 to November 13, 2020. We employ the wavelet coherence approach to measure the impact of the numbers
Rehman M, Kang S, Ahmad N, Vo X.
europepmc +2 more sources
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis [PDF]
International Conference on Information and Knowledge Management, 2022 Time series anomaly detection is a challenging problem due to the complex temporal dependencies and the limited label data. Although some algorithms including both traditional and deep models have been proposed, most of them mainly focus on time-domain ...
Chaoli Zhang +3 more
semanticscholar +1 more source
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
doaj +1 more source
Radar waveform recognition based on a two‐stream convolutional network and software defined radio
IET Radar, Sonar & Navigation, 2022 As one of the key technologies of electromagnetic spectrum operations, radar waveform recognition is an important basis for judging the threat degree of enemy’s weapons.
Yan Xia, Zhiyuan Ma, Zhi Huang
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Nature Computational Science, 2022 The spectral analysis of signals is currently either dominated by the speed–accuracy trade-off or ignores a signal’s often non-stationary character. Here we introduce an open-source algorithm to calculate the fast continuous wavelet transform (fCWT). The
Lukas P. A. Arts, E. L. van den Broek
semanticscholar +1 more source
Application of Time-Frequency Analysis in Rotating Machinery Fault Diagnosis
Shock and Vibration, 2023 Fault diagnosis is an important means to ensure the safe and reliable operation of mechanical equipment. In machinery fault diagnosis, collecting and mining the potential fault information of the vibration signal is the most commonly used method to ...
Yihao Bai +3 more
semanticscholar +1 more source
UltraDigit: An ultrasound signal‐based in‐air digit input system via transfer learning
IET Radar, Sonar & Navigation, 2023 With the popularity of smart devices, people pay more attention to the experience of text input. The authors propose an in‐air digit input system, namely UltraDigit, which enables users to input digits in the air using acoustic signal via transfer ...
Mengxue Yang, Junbao Zhang, Xuebing Wang
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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
doaj +1 more source
IET Smart Cities, 2021 Fast and reliable evaluation of regional traffic congestion is beneficial to more effective traffic control. Based on data accumulation in modern society, more and more data‐driven methods are proposed.
Wubei Yuan +3 more
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