Results 81 to 90 of about 21,592 (299)
DYADIC TRIANGULAR HILBERT TRANSFORM OF TWO GENERAL FUNCTIONS AND ONE NOT TOO GENERAL FUNCTION
Forum of Mathematics, Sigma, 2015 The so-called triangular Hilbert transform is an elegant trilinear singular integral form which specializes to many well-studied objects of harmonic analysis.
VJEKOSLAV KOVAČ +2 more
doaj +1 more source
Stereo‐EEG mapping of visual working memory with task‐related high‐gamma modulations
Epilepsia, EarlyView.Abstract Objective We describe a safe, informative, and easy‐to‐implement approach for presurgical mapping of visual working memory (VWM) with stereo‐electroencephalography (SEEG). Methods Twenty‐four patients with drug‐resistant epilepsy, 11–23 years of age, performed a single‐probe change detection VWM task, during SEEG monitoring.
Brian Ervin +13 more
wiley +1 more source
Certain isometries related to the bilateral laplace transform
Mathematical Modelling and Analysis, 2006 We study certain isometries between Hilbert spaces, which are generated by the bilateral Laplace transform In particular, we construct an analog of the Bargmann‐Fock type reproducing kernel Hilbert space related to this transformation. It is shown
S. B. Yakubovich
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Epilepsia, EarlyView.Abstract Objective Surgical decision‐making in temporal lobe epilepsy (TLE) faces a critical challenge in determining whether the hippocampus can be safely spared during anterior temporal resection, particularly when surgery involves the language‐dominant hemisphere.
Guhan Seshadri NP +6 more
wiley +1 more source
CoRRThe Hilbert transform has been one of the foundational transforms in signal processing, finding it's way into multiple disciplines from cryptography to biomedical sciences. However, there does not exist any quantum analogue for the Hilbert transform.
Nitin Jha, Abhishek Parakh
openaire +2 more sources
Some properties of a modified Hilbert transform
Comptes Rendus. MathématiqueRecently, Steinbach et al. introduced a novel operator $\mathcal{H}_T: L^2(0,T) \rightarrow L^2(0,T)$, known as the modified Hilbert transform. This operator has shown its significance in space-time formulations related to the heat and wave equations. In
Ferrari, Matteo
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AI‐based localization of the epileptogenic zone using intracranial EEG
Epilepsia Open, EarlyView.Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Intraday Functional PCA Forecasting of Cryptocurrency Returns
Journal of Forecasting, EarlyView.ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source
Micro-resonator frequency comb source based time domain Hilbert transform
, 2016 We demonstrate a temporal Hilbert transformer based on an integrated microresonator optical frequency comb source, and perform a temporal transform of a Gaussian pulse with a fullwidth half maximum of 0.12ns. © OSA 2016.
Sai T. Chu +15 more
core +1 more source
Journal of Intelligent Medicine, EarlyView.Abstract Attentional control theory posits that anxiety disrupts goal‐directed attentional system; however, its neurophysiological mechanisms in generalized anxiety disorder (GAD) remain unclear. This study investigated two core operations of the goal‐directed attentional system in GAD—inhibition and shifting—by characterizing their behavioral and ...
Xinyu Hao +7 more
wiley +1 more source