Results 41 to 50 of about 153,915 (146)
On the Calculation of Sample Entropy Using Continuous and Discrete Human Gait Data
Entropy, 2018 Sample entropy (SE) has relative consistency using biologically-derived, discrete data >500 data points. For certain populations, collecting this quantity is not feasible and continuous data has been used.
John D. McCamley +4 more
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Discrete water quality sampling at open-water aquaculture sites: limitations and strategies
Aquaculture Environment Interactions, 2016 While environmental performance of cage-based aquaculture is most often monitored through benthic conditions, there may also be requirements that necessitate discrete, pelagic sampling.
HM Jansen +7 more
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EURASIP Journal on Advances in Signal Processing, 2021 The prediction and correction of systematic errors in direct spectral estimation from irregularly sampled data taken from a stochastic process is investigated.
Nils Damaschke +2 more
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FEBS Letters, EarlyView.This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
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Approximate Nonlinear Discrete-Time Models Based on B-Spline Functions
IEEE Access, 2020 We consider the discretization of continuous-time nonlinear systems described by normal forms. In particular, we consider the case when the input to the system is generated by a B-spline hold device to obtain an approximate discrete-time model.
Claudia Sanchez, Juan I. Yuz
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Sampling and Discrete Linear Canonical Transforms [PDF]
, 2016 A discrete linear canonical transform would facilitate numerical calculations in many applications in signal processing, scalar wave optics, and nuclear physics. The question is how to define a discrete transform so that it not only approximates the continuous transform well, but also constitutes a discrete transform in its own right, being complete ...
Healy J.J., Ozaktas H.M.
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On the analytic form of the discrete Kramer sampling theorem
International Journal of Mathematics and Mathematical Sciences, 2001 The classical Kramer sampling theorem is, in the subject of self-adjoint boundary value problems, one of the richest sources to obtain sampling expansions. It has become very fruitful in connection with discrete Sturm-Liouville problems.
Antonio G. García +2 more
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Discrete Wavelet Transform Sampling for Image Super Resolution
Applied Artificial IntelligenceIn battlefield environments, drones depend on high-resolution imagery for critical tasks such as target identification and situational awareness. However, acquiring clear images of distant targets presents a significant challenge.
Chieh-Li Chen, Heng-Lin Yao, Bo-Lin Jian
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Discrete- vs. Continuous-Time Modeling of Unequally Spaced Experience Sampling Method Data
Frontiers in Psychology, 2017 The Experience Sampling Method is a common approach in psychological research for collecting intensive longitudinal data with high ecological validity. One characteristic of ESM data is that it is often unequally spaced, because the measurement intervals
Silvia de Haan-Rietdijk +5 more
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Predicting concentration changes via discrete receptor sampling
Physical Review ResearchTo successfully navigate chemical gradients, microorganisms need to predict how the ligand concentration changes in space. Due to their limited size, they do not take a spatial derivative over their body length but rather a temporal derivative, comparing
Age J. Tjalma, Pieter Rein ten Wolde
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