Results 21 to 30 of about 2,852,859 (310)
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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F-Value Time-Frequency Analysis: Between-Within Variance Analysis. [PDF]
Front Neurosci, 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.
Yeom HG, Jeong H.
europepmc +2 more sources
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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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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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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Remote Sensing, 2018 The maneuvering target echo of high-resolution radar can be expressed as a multicomponent polynomial phase signal (mc-PPS). However, with improvements in radar resolution and increases in the synthetic period, classical time frequency analysis methods ...
Guochao Lao +4 more
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Frequency Identification of Vibration Signals Using Video Camera Image Data
Sensors, 2012 This study showed that an image data acquisition system connecting a high-speed camera or webcam to a notebook or personal computer (PC) can precisely capture most dominant modes of vibration signal, but may involve the non-physical modes induced by the ...
Chia-Hung Wu, Yih-Nen Jeng
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