Results 71 to 80 of about 84,223 (272)
The Optimally Designed Deep Autoencoder-Based Compressive Sensing Framework for 1D and 2D Signals
The capacity of Compressive Sensing (CS) to recreate original data from a limited number of samples has led to a surge in attention in recent years.
Irfan Ahmed +3 more
doaj +1 more source
Sub-Nyquist Cyclostationary Detection of GFDM for Wideband Spectrum Sensing
Spectrum scarcity is a challenging problem in wireless communications: high data rates are needed to support 5G new technologies. However, the spectrum is underutilized.
Noura A. El-Alfi +2 more
doaj +1 more source
Compressive Sensing for MIMO Radar
Multiple-input multiple-output (MIMO) radar systems have been shown to achieve superior resolution as compared to traditional radar systems with the same number of transmit and receive antennas.
Petropulu, Athina P. +2 more
core +1 more source
Objective We examined whether 18 months of strength training in individuals with knee varus alignment and medial tibiofemoral osteoarthritis (OA) reduced knee joint loads during walking compared to an attention control group. Methods This study was a secondary analysis of a randomized clinical trial that compared the effects of strength training to a ...
Stephen P. Messier +12 more
wiley +1 more source
A quantitative and qualitative performance analysis of compressive spectral imagers
Context: Spectral images (SI) contain spatial-spectral information about a scene arranging in a data cube, which often comprises a significant amount of data.
Ferley Medina Rojas +2 more
doaj +1 more source
Compressive sensing: from "compressing while sampling" to "compressing and securing while sampling".
In a traditional signal processing system sampling is carried out at a frequency which is at least twice the highest frequency component found in the signal. This is in order to guarantee that complete signal recovery is later on possible. The sampled signal can subsequently be subjected to further processing leading to, for example, encryption and ...
Abdulghani, AM, Rodriguez-Villegas, E
openaire +2 more sources
Compressive sampling for networked feedback control
We investigate the use of compressive sampling for networked feedback control systems. The method proposed serves to compress the control vectors which are transmitted through rate-limited channels without much deterioration of control performance. The control vectors are obtained by an L1-L2 optimization, which can be solved very efficiently by FISTA (
Nagahara, Masaaki +3 more
openaire +4 more sources
Objective This study aimed to investigate potential moderators influencing the effects of manual therapy and exercise therapy on pain and functional outcomes in individuals with knee and/or hip osteoarthritis, using data from the MOA trial. This is a secondary analysis of data from the MOA trial that compares the clinical effectiveness of manual ...
Daniel Cury Ribeiro +2 more
wiley +1 more source
Thermoreflectance Detection of Point Defects Resulting from Focused Ion Beam Milling
Focused ion beam (FIB) milling is a common tool for nanoscale material processing, however irradiation damage, redeposition, and contamination can occur. We use several characterization tools to show FIB‐induced effects beyond 1 mm from the milled area.
Thomas W. Pfeifer +3 more
wiley +1 more source
The tribological behavior of 100Cr6 steel spheres textured via Vickers microindentation is evaluated under lubricated sliding by varying both dimple size and density. Fine and dense textures significantly reduce friction across all lubrication regimes, while large dimples increase it.
Farideh Davoodi +3 more
wiley +1 more source

