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Discrete Time Analysis of Phase Detector Timing Nonidealities in Type-I Sub-Sampling PLL

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Functional data are typically modeled as sample paths of smooth stochastic processes in order to mitigate the fact that they are often observed discretely and noisily, occasionally irregularly and sparsely. The smoothness assumption is imposed to allow for ...

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Bioaerosols are emitted from various sources into the indoor environment and can positively and negatively impact human health. Humans are the major source of bioaerosol emissions indoors, specifically for bacteria. However, efficient sampling to guarantee ...

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Is it possible to detect if the sample paths of a stochastic process almost surely admit a finite expansion with respect to some/any basis? The determination is to be made on the basis of a finite collection of discretely/noisily observed sample paths. We ...

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DNA methylation (DNAm) is one of the most frequently studied epigenetic mechanisms facilitating the interplay of genomic and environmental factors, which can contribute to externalizing behaviours and related psychiatric disorders. Previous epigenome-wide ...

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Years of a fierce competition have naturally selected the fittest deep learning algorithms. Yet, although these models work well in practice, we still lack a proper characterization of why they do so. This poses serious questions about the robustness, trus ...

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Fourier transforms are an often necessary component in many computational tasks, and can be computed efficiently through the fast Fourier transform (FFT) algorithm. However, many applications involve an underlying continuous signal, and a more natural choi ...

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Discrete Time Analysis of Phase Detector Timing Nonidealities in Type-I Sub-Sampling PLL

Functional data analysis with rough sample paths?

Comparison of two methods for bioaerosol sampling and characterization in a low-biomass chamber environment

Center-aware Adversarial Augmentation for Single Domain Generalization

An adaptive space-time algorithm for the incompressible Navier-Stokes equations

Detecting whether a stochastic process is finitely expressed in a basis

Epigenome-wide DNA methylation in externalizing behaviours: A review and combined analysis

The inductive bias of deep learning: Connecting weights and functions

A 0.21-ps FOM Capacitor-Less Analog LDO with Dual-Range Load Current for Biomedical Applications

pyFFS: A Python Library for Fast Fourier Series Computation and Interpolation with GPU Acceleration

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Functional data analysis with rough sample paths?

Comparison of two methods for bioaerosol sampling and characterization in a low-biomass chamber environment

Center-aware Adversarial Augmentation for Single Domain Generalization

An adaptive space-time algorithm for the incompressible Navier-Stokes equations

Detecting whether a stochastic process is finitely expressed in a basis

Epigenome-wide DNA methylation in externalizing behaviours: A review and combined analysis

The inductive bias of deep learning: Connecting weights and functions

Self-Synchronized Grid Impedance Estimation Unit using Interpolated DFT Technique

A 0.21-ps FOM Capacitor-Less Analog LDO with Dual-Range Load Current for Biomedical Applications

pyFFS: A Python Library for Fast Fourier Series Computation and Interpolation with GPU Acceleration

Self-Synchronized Grid Impedance Estimation Unit using Interpolated DFT Technique