Results 41 to 50 of about 1,354,418 (296)
Compressive Sensing Based on Mesoscopic Chaos of Silicon Optomechanical Photonic Crystal
IEEE Photonics Journal, 2020 Compressive sensing (CS) is an effective technique that can compress and recover sparse signals below the Nyquist-Shannon sampling theorem restriction.
Pengfei Guo +6 more
doaj +1 more source
Application of Compressive Sensing in the Presence of Noise for Transient Photometric Events
Signals, 2022 Compressive sensing is a simultaneous data acquisition and compression technique, which can significantly reduce data bandwidth, data storage volume, and power. We apply this technique for transient photometric events. In this work, we analyze the effect
Asmita Korde-Patel +2 more
doaj +1 more source
Compressive sensing for gait recognition [PDF]
, 2011 Compressive Sensing (CS) is a popular signal processing technique, that can exactly reconstruct a signal given a small number of random projections of the original signal, provided that the signal is sufficiently sparse.
Sivapalan, Sabesan +11 more
core +1 more source
Shock and Vibration, 2020 The compressive sensing (CS) theory provides a new slight to the big-data problem led by the Shannon sampling theorem in rolling element bearings condition monitoring, where the measurement matrix of CS tends to be designed by the random matrix (RM) to ...
Ya He, Kun Feng, Minghui Hu, Jinmiao Cui
doaj +1 more source
Automatic Modulation Recognition Using Compressive Cyclic Features
Algorithms, 2017 Higher-order cyclic cumulants (CCs) have been widely adopted for automatic modulation recognition (AMR) in cognitive radio. However, the CC-based AMR suffers greatly from the requirement of high-rate sampling.
Lijin Xie, Qun Wan
doaj +1 more source
AN IMPROVEMENT OF RESOURCE CONSUMPTION IN WIRELESS SENSOR NETWORK (WSN) USING COMPRESSIVE SENSING
Malaysian Journal of Computing, 2022 Wireless Sensor Network (WSN) refers to a group of spatially dispersed and dedicated sensors designed to monitor and record the physical conditions of the environment and organise the data collected at a central location.
Maizatul Akmal Ibrahim +1 more
doaj +1 more source
Compressive Sensing for PAN-Sharpening [PDF]
, 2011 Based on compressive sensing framework and sparse reconstruction technology, a new pan-sharpening method, named Sparse Fusion of Images (SparseFI, pronounced as sparsify), is proposed in [1].
Bamler, Richard +3 more
core
Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading
Advanced Engineering Materials, EarlyView.This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev +2 more
wiley +1 more source
Unbalanced Expander Based Compressive Data Gathering in Clustered Wireless Sensor Networks
IEEE Access, 2017 Conventional compressive sensing-based data gathering (CS-DG) algorithms require a large number of sensors for each compressive sensing measurement, thereby resulting in high energy consumption in clustered wireless sensor networks (WSNs).
Xiangling Li, Xiaofeng Tao, Guoqiang Mao
doaj +1 more source
Magnetic Resonance Materials in Physics, Biology and Medicine, 2023 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