Results 51 to 60 of about 580,269 (285)
Metasurface Enhanced Spatial Mode Decomposition
Abstract Acquiring precise information about the mode content of a laser is critical for multiplexed optical communications, optical imaging with active wave-front control, and quantum-limited interferometric measurements. Hologram-based mode decomposition devices, such as spatial light modulators, allow a fast, direct measurement of the mode ...
Aaron W. Jones +6 more
openaire +3 more sources
Quantum Noise in Multipixel Image Processing [PDF]
We consider the general problem of the quantum noise in a multipixel measurement of an optical image. We first give a precise criterium in order to characterize intrinsic single mode and multimode light.
A. K. Jain +11 more
core +3 more sources
Improving the prediction accuracy of river inflow using two data pre-processing techniques coupled with data-driven model [PDF]
River inflow prediction plays an important role in water resources management and power-generating systems. But the noises and multi-scale nature of river inflow data adds an extra layer of complexity towards accurate predictive model.
Hafiza Mamona Nazir +4 more
doaj +2 more sources
Adaptive Complex Variational Mode Decomposition for Micro-Motion Signal Processing Applications
In order to suppress the strong clutter component and separate the effective fretting component from narrow-band radar echo, a method based on complex variational mode decomposition (CVMD) is proposed in this paper.
Saiqiang Xia +5 more
doaj +1 more source
Applying the Hilbert--Huang Decomposition to Horizontal Light Propagation C_n^2 data [PDF]
The Hilbert Huang Transform is a new technique for the analysis of non--stationary signals. It comprises two distinct parts: Empirical Mode Decomposition (EMD) and the Hilbert Transform of each of the modes found from the first step to produce a Hilbert ...
Chang, Mark P. J. L. +4 more
core +3 more sources
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Multiplicative Dynamic Mode Decomposition
24 pages, 13 figures.
Nicolas Boullé, Matthew J. Colbrook
openaire +3 more sources
Deep learning enhanced dynamic mode decomposition
Koopman operator theory shows how nonlinear dynamical systems can be represented as an infinite-dimensional, linear operator acting on a Hilbert space of observables of the system. However, determining the relevant modes and eigenvalues of this infinite-dimensional operator can be difficult.
D. J. Alford-Lago +3 more
openaire +4 more sources
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Sleep Mode Analysis via Workload Decomposition [PDF]
The goal of this paper is to establish a general approach for analyzing queueing models with repeated inhomogeneous vacations. The server goes on for a vacation if the inactivity prolongs more than the vacation trigger duration. Once the system enters in
Azad, Amar Prakash
core +1 more source

