Results 31 to 40 of about 4,803 (262)
Multi-Image Encryption Based on Compressed Sensing and Deep Learning in Optical Gyrator Domain
In this paper, a multi-image encryption scheme based on compressed sensing (CS) and deep learning in the optical gyrator domain is proposed. Firstly, multiple plaintext images are compressed by CS to obtain multiple measurements, and then the pixels of ...
Renjie Ni, Fan Wang, Jun Wang, Yuhen Hu
doaj +1 more source
A Time-Domain Analog Spatial Compressed Sensing Encoder for Multi-Channel Neural Recording
A time-domain analog spatial compressed sensing encoder for neural recording applications is proposed. Owing to the advantage of MEMS technologies, the number of channels on a silicon neural probe array has doubled in 7.4 years, and therefore, a greater ...
Takayuki Okazawa, Ippei Akita
doaj +1 more source
Spectral Detection of Frequency-Sparse Signals: Compressed Sensing vs. Sweeping Spectrum Scanning
In cognitive radio (CR) systems, compressed sensing (CS) has emerged as a promising approach for detecting wireless spectrum that is underutilized (i.e., sparse in the frequency domain).
Murat Torlak, Won Namgoong
doaj +1 more source
A Novel Decentralized Scheme for Cooperative Compressed Spectrum Sensing in Distributed Networks
Compressed sensing (CS) recently turns out to be an effective approach to alleviate the sampling bottleneck in wideband spectrum sensing. However, the computation overhead incurred by compressed reconstruction is nontrivial, especially in a power ...
Huang Jijun, Zha Song
doaj +1 more source
Fatigue Crack Initiation and Growth in Nanocrystalline Ni at Multiple Length‐Scales
Overview of miniaturized in situ SEM fatigue setup and resultant fatigue crack growth data for nanocrystalline Ni. The presented study focuses on the analysis of fatigue crack growth rate (FCGR) in focused ion beam‐notched microcantilevers prepared from nanocrystalline (NC) Ni as a model material.
Igor Moravcik +7 more
wiley +1 more source
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova +2 more
wiley +1 more source
Abstract Object Spatio-temporal MRI methods offer rapid whole-brain multi-parametric mapping, yet they are often hindered by prolonged reconstruction times or prohibitively burdensome hardware requirements.
Siddharth S. Iyer +9 more
openaire +5 more sources
Compressed Sensing Image Reconstruction with Fast Convolution Filtering
Image reconstruction is a crucial aspect of computational imaging. The compressed sensing reconstruction (CS) method has been developed to obtain high-quality images. However, the CS method is commonly time-consuming in image reconstruction.
Runbo Guo, Hao Zhang
doaj +1 more source
Deep Compressive Sensing on ECG Signals with Modified Inception Block and LSTM
In practical electrocardiogram (ECG) monitoring, there are some challenges in reducing the data burden and energy costs. Therefore, compressed sensing (CS) which can conduct under-sampling and reconstruction at the same time is adopted in the ECG ...
Jing Hua +4 more
doaj +1 more source
Creep Properties and Deformation Mechanism of Additively Manufactured NiAl‐CrMo Composites
Additively manufactured NiAl‐CrMo composites contain numerous interfaces and cell boundaries that control their creep response. At 700°C under high applied stress, creep is dominated by dislocation‐controlled power‐law mechanisms. At 800°C–900°C and lower stresses, creep is primarily diffusion‐controlled along cell boundaries.
Jan Vollhüter +9 more
wiley +1 more source

