Results 31 to 40 of about 3,086,556 (345)
Surface Measurement Using Compressed Wavefront Sensing
Photonic Sensors, 2018 Compressed sensing leverages the sparsity of signals to reduce the amount of measurements required for its reconstruction. The Shack-Hartmann wavefront sensor meanwhile is a flexible sensor where its sensitivity and dynamic range can be adjusted based on
Eddy Mun Tik Chow +3 more
doaj +1 more source
Spatial-Spectral Joint Compressed Sensing for Hyperspectral Images
IEEE Access, 2020 Compressed sensing is one of the key technologies to reduce the volume of hyperspectral image for real-time storage and transmission. Reconstruction based on spectral unmixing show tremendous potential in hyperspectral compressed sensing compared with ...
Zhongliang Wang +5 more
doaj +1 more source
A Coded Compressed Sensing Scheme for Unsourced Multiple Access
IEEE Transactions on Information Theory, 2020 This article introduces a novel scheme, termed coded compressed sensing, for unsourced multiple-access communication. The proposed divide-and-conquer approach leverages recent advances in compressed sensing and forward error correction to produce a novel
V. Amalladinne +2 more
semanticscholar +1 more source
EEG Emotion Recognition Based on Deep Compressed Sensing
Taiyuan Ligong Daxue xuebao, 2023 Purposes Deep compressed sensing is the use of deep learning to solve the problems existing in traditional compressed sensing, such as the adaptability of observation matrix to traditional signal compression and the dependency on dictionary by ...
Jinxin FENG +5 more
doaj +1 more source
Efficient distributed storage strategy based on compressed sensing for space information network
International Journal of Distributed Sensor Networks, 2016 This article investigates the distributed data storage problem with compressed sensing in the space information network. Since there exists a performance-energy trade-off, most existing strategies focus only on improving the compressed sensing ...
Bo Kong +4 more
doaj +1 more source
Leaf Classification for Crop Pests and Diseases in the Compressed Domain
Sensors, 2022 Crop pests and diseases have been the main cause of reduced food production and have seriously affected food security. Therefore, it is very urgent and important to solve the pest problem efficiently and accurately.
Jing Hua, Tuan Zhu, Jizhong Liu
doaj +1 more source
Computational Complexity versus Statistical Performance on Sparse Recovery Problems [PDF]
, 2018 We show that several classical quantities controlling compressed sensing performance directly match classical parameters controlling algorithmic complexity.
Boumal, Nicolas +2 more
core +4 more sources
Error Resilience for Block Compressed Sensing with Multiple-Channel Transmission
Applied Sciences, 2019 Compressed sensing is well known for its superior compression performance, in existing schemes, in lossy compression. Conventional research aims to reach a larger compression ratio at the encoder, with acceptable quality reconstructed images at the ...
Hsiang-Cheh Huang +2 more
doaj +1 more source
From Compressed-Sensing to Artificial Intelligence-Based Cardiac MRI Reconstruction
Frontiers in Cardiovascular Medicine, 2020 Cardiac magnetic resonance (CMR) imaging is an important tool for the non-invasive assessment of cardiovascular disease. However, CMR suffers from long acquisition times due to the need of obtaining images with high temporal and spatial resolution ...
Aurélien Bustin +3 more
semanticscholar +1 more source
Sensors, 2021 Infrared images of power equipment play an important role in power equipment status monitoring and fault identification. Aiming to resolve the problems of low resolution and insufficient clarity in the application of infrared images, we propose a blind ...
Yan Wang +3 more
doaj +1 more source