Results 11 to 20 of about 2,690,910 (259)
Information, 2023 Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD) are frequently associated with working memory (WM) dysfunction, which is also observed in various neural psychiatric disorders, including depression, schizophrenia, and ADHD. Early detection of
Sriniketan Sridhar +2 more
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FPGA Based Real-Time Implementation of Online EMD With Fixed Point Architecture
IEEE Access, 2019 Empirical mode decomposition (EMD) is a data driven method for nonstationary data analysis which has proven to be extremely useful in diverse applications in biomedical engineering.
Sikender Gul +2 more
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Short wave protocol signals recognition based on Swin-Transformer
Tongxin xuebao, 2022 Aiming at the problem that it is difficult to identify the protocol to which the signal belongs in the complex SW channel environment, a SW protocol signal recognition algorithm based on Swin-Transformer neural network model was proposed.Firstly, the ...
Zhengyu ZHU +5 more
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Frontiers in Neurology, 2019 Epilepsy with Centrotemporal Spikes (ECTS) is the most common form of self-limited focal epilepsy. The pathophysiological mechanisms by which ECTS induces neuropsychological impairment in 15–30% of affected children remain unclear.
Emilie Bourel-Ponchel +6 more
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Response Identification in the Extremely Low Frequency Region of an Electret Condenser Microphone
Sensors, 2011 This study shows that a small electret condenser microphone connected to a notebook or a personal computer (PC) has a prominent response in the extremely low frequency region in a specific environment.
Shang-Yin Lee +2 more
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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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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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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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Sensors, 2019 Conventional wavelet transform (WT) filters have less effect on de-noising and correction of a north-seeking gyroscope sensor exposed to vibration, since the optimal wavelet decomposed level for de-noising is difficult to determine. To solve this problem,
Ji Ma +4 more
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A new transform for time-frequency analysis
IEEE Transactions on Signal Processing, 1992 The psi-decomposition of a signal, in which the signal is written as a weighted sum of certain elementary synthesizing functions, is described. The set S of synthesizing functions consists of dilated and translated copies of two parent functions, which are concentrated in both the time and the frequency domains.
Kumar, Arun +3 more
openaire +5 more sources