Results 71 to 80 of about 322,181 (285)
Energy Efficient GNSS Signal Acquisition Using Singular Value Decomposition (SVD)
Sensors, 2018 A significant challenge in global navigation satellite system (GNSS) signal processing is a requirement for a very high sampling rate. The recently-emerging compressed sensing (CS) theory makes processing GNSS signals at a low sampling rate possible if ...
Juan Carlos Bermúdez Ordoñez +2 more
doaj +1 more source
Arthritis Care &Research, Accepted Article.Objective We developed a novel EHR sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk +16 more
wiley +1 more source
A Generative Product-of-Filters Model of Audio [PDF]
, 2014 We propose the product-of-filters (PoF) model, a generative model that decomposes audio spectra as sparse linear combinations of "filters" in the log-spectral domain.
Hoffman, Matthew D. +2 more
core
A unified approach to convergence rates for $\ell^1$-regularization and lacking sparsity
, 2015 In $\ell^1$-regularization, which is an important tool in signal and image processing, one usually is concerned with signals and images having a sparse representation in some suitable basis, e.g. in a wavelet basis.
Flemming, Jens +2 more
core +1 more source
Arthritis Care &Research, Accepted Article.Objective We aimed to estimate the prevalence and cumulative incidence of hydroxychloroquine retinopathy (HCQ‐R) and its risk factors among long‐term HCQ users with rheumatic diseases through a systematic review and meta‐analysis of observational studies that used spectral‐domain OCT (SD‐OCT) for screening. Methods A systematic search of PubMed, Scopus,
Narsis Daftarian +4 more
wiley +1 more source
Learning Dictionaries with Bounded Self-Coherence
, 2012 Sparse coding in learned dictionaries has been established as a successful approach for signal denoising, source separation and solving inverse problems in general. A dictionary learning method adapts an initial dictionary to a particular signal class by
Buhmann, Joachim M. +2 more
core +1 more source
Sparse Signal Processing with Frame Theory
, 2012 Many emerging applications involve sparse signals, and their processing is a subject of active research. We desire a large class of sensing matrices which allow the user to discern important properties of the measured sparse signal. Of particular interest are matrices with the restricted isometry property (RIP).
openaire +2 more sources
Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials
Advanced Engineering Materials, EarlyView.Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai +2 more
wiley +1 more source
Sampling and Super-resolution of Sparse Signals Beyond the Fourier Domain
, 2018 Recovering a sparse signal from its low-pass projections in the Fourier domain is a problem of broad interest in science and engineering and is commonly referred to as super-resolution. In many cases, however, Fourier domain may not be the natural choice.
Bhandari, Ayush, Eldar, Yonina C.
core +1 more source
Advanced Engineering Materials, EarlyView.This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo +3 more
wiley +1 more source