Time-frequency dynamics of error monitoring in childhood: An EEG study.
Sign Up to like & getrecommendations! Published in 2022 at "Developmental psychobiology"
DOI: 10.1002/dev.22215
Abstract: Error monitoring allows individuals to monitor and adapt their behavior by detecting errors. Error monitoring is thought to develop throughout childhood and adolescence. However, most of this evidence comes from studies in late childhood and… read more here.
Keywords: time frequency; childhood; study; error monitoring ... See more keywords
Time, frequency, and time-varying Granger-causality measures in neuroscience.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7621
Abstract: This article proposes a systematic methodological review and an objective criticism of existing methods enabling the derivation of time, frequency, and time-varying Granger-causality statistics in neuroscience. The capacity to describe the causal links between signals… read more here.
Keywords: frequency time; granger causality; time varying; time ... See more keywords
Performance Evaluation of Time-Frequency Distributions for ECG Signal Analysis
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Medical Systems"
DOI: 10.1007/s10916-017-0871-8
Abstract: The non-stationary and multi-frequency nature of biomedical signal activities makes the use of time-frequency distributions (TFDs) for analysis inevitable. Time-frequency analysis provides simultaneous interpretations in both time and frequency domain enabling comprehensive explanation, presentation and… read more here.
Keywords: frequency distributions; ecg; frequency; analysis ... See more keywords
Automatic seizure detection using a highly adaptive directional time–frequency distribution
Sign Up to like & getrecommendations! Published in 2018 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-017-0522-8
Abstract: Electroencephalogram (EEG) signals can be used by a proficient neurologist to detect the presence of seizure activity inside the brain. Automated detection of seizures in EEG signals has clinical importance given that manual round-the-clock monitoring… read more here.
Keywords: detection; eeg signals; time; time frequency ... See more keywords
Multi-component instantaneous frequency estimation using signal decomposition and time-frequency filtering
Sign Up to like & getrecommendations! Published in 2020 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-020-01711-6
Abstract: A novel method is presented for the instantaneous frequency estimation of multi-component signals with crossing signatures in the time-frequency domain. The proposed method uses a combination of Eigen decomposition of time-frequency distributions and time-frequency filtering… read more here.
Keywords: instantaneous frequency; frequency; multi component; time frequency ... See more keywords
Dunkl–Stockwell transform and its applications to the time–frequency analysis
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Pseudo-differential Operators and Applications"
DOI: 10.1007/s11868-021-00378-y
Abstract: In this paper, we extend the one-dimensional Stockwell transform discussed in Stockwell et al. (IEEE Trans Signal Process 44:998–1001, 1996) to the Dunkl theory seeting. We obtain the expected properties of the extended Stockwell transform… read more here.
Keywords: applications time; stockwell; time frequency; transform applications ... See more keywords
Simulation Study on Multi-Rate Time-Frequency Analysis of Non-Stationary Signals
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Shanghai Jiaotong University (Science)"
DOI: 10.1007/s12204-018-1967-0
Abstract: A new time-frequency analysis method is proposed in this study using a multi-rate signal decomposition technique for the analysis of non-stationary signals. The method uses a multi-rate filter bank for an improved non-stationary signal decomposition… read more here.
Keywords: non stationary; frequency analysis; analysis; time frequency ... See more keywords
Fault diagnosis of rolling bearings based on impulse feature enhancement and time-frequency joint noise reduction
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Mechanical Science and Technology"
DOI: 10.1007/s12206-021-0411-9
Abstract: Aiming at the problem that the effectiveness of impulse feature enhancement (IFE) depends on the duration of high-level (or low-level) K and the number of high-level L, we regard a segmented impulse norm as the… read more here.
Keywords: joint noise; frequency joint; time frequency; noise ... See more keywords
Time Frequency Image and Artificial Neural Network Based Classification of Impact Noise for Machine Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Precision Engineering and Manufacturing"
DOI: 10.1007/s12541-018-0098-8
Abstract: This paper presents a method of classifying impact noises obtained from a washer machine by obtaining the time frequency image of the sound signals and applying an artificial neural network for classification. Classifying the impact… read more here.
Keywords: neural network; impact; time; time frequency ... See more keywords
Wavelet-Based Detection of Time-Frequency Changes for Monthly Rainfall and SPI Series in Taiwan
Sign Up to like & getrecommendations! Published in 2019 at "Asia-Pacific Journal of Atmospheric Sciences"
DOI: 10.1007/s13143-019-00118-9
Abstract: This study aims to assess time-frequency changes and trends of both monthly rainfall and SPI (standardized precipitation index) series in Taiwan using wavelet transform and Mann-Kendall test. The monthly data at Taipei, Sunmoon Lake, Kaohsiung,… read more here.
Keywords: spi series; time frequency; series; wavelet ... See more keywords
Method for designing multi-input system identification signals using a compact time-frequency representation
Sign Up to like & getrecommendations! Published in 2021 at "CEAS Aeronautical Journal"
DOI: 10.1007/s13272-021-00499-6
Abstract: A flight test campaign for system identification is a costly and time-consuming task. Models derived from wind tunnel experiments and CFD calculations must be validated and/or updated with flight data to match the real aircraft… read more here.
Keywords: time frequency; system; system identification; flight ... See more keywords