Results 101 to 110 of about 22,663 (297)

Iterative joint channel and data estimation for rank-deficient MIMO-OFDM

open access: yes, 2007
In this paper we propose a turbo-detected multi-antenna-multi-carrier receiver scheme. Following the philosophy of the turbo processing, our turbo MIMO-OFDM receiver comprises a succession of detection modules, namely the channel estimator, the space ...
Akhtman, Jos   +3 more
core  

Benchmarking Iterative Projection Algorithms for Phase Retrieval

open access: yes, 2004
Iterative projection algorithms for phase retrieval are tested on two simple toy models. The result provides useful insights in the behavior of these algorithms.
openaire   +2 more sources

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

A hybrid 3-D reconstruction/registration algorithm for correction of head motion in emission tomography

open access: yes, 2002
Even with head restraint, small head movements can occur during data acquisition in emission tomography that are sufficiently large to result in detectable artifacts in the final reconstruction.
Hutton, BF   +4 more
core  

Set projection algorithms for blind ptychographic phase retrieval

open access: yes, 2023
Set projection algorithms are a class of algorithms used in ptychography to help improve the quality of the reconstructed images. The set projection step is important because it helps to ensure that the reconstructed image satisfies the physical ...
Mei, Wenjie, Maiden, Andrew M.
core  

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

open access: yesAdvanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia   +3 more
wiley   +1 more source

Projection-splitting algorithms for monotone variational inequalities

open access: yes, 2000
We consider and analyze some new projection-splitting algorithms for solving monotone variational inequalities by using the technique of updating the solution. Our modification is in the spirit of the extragradient method.
M.A. Noor, Noor, M.A.
core   +1 more source

High-kVp Assisted Metal Artifact Reduction for X-Ray Computed Tomography

open access: yesIEEE Access, 2016
In X-ray computed tomography (CT), the presence of metallic parts in patients causes serious artifacts and degrades image quality. Many algorithms were published for metal artifact reduction (MAR) over the past decades with various degrees of success but
Yan Xi   +3 more
doaj   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

open access: yesAdvanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Algorithms and literate programs for weighted low-rank approximation with missing data

open access: yes, 2010
Linear models identification from data with missing values is posed as a weighted low-rank approximation problem with weights related to the missing values equal to zero.
Markovsky, Ivan, Ivan Markovsky
core   +1 more source

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