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Comparison of image quality evaluation methods for magnetic resonance imaging using compressed sensing–sensitivity encoding (CS-SENSE)

Radiological Physics and Technology
This study aimed to compare the relationship between the quantitative values and visual score of acquired images using the CS-SENSE method. T1-weighted image (T1WI) and T2-weighted image (T2WI) were acquired using a phantom created by a 3D printer.
Norikazu Koori   +12 more
openaire   +2 more sources

Compressive Sensing (CS) on Wireless Sensor Network for Manufacturing Process Monitoring

2023 International Conference on Artificial Intelligence Robotics, Signal and Image Processing (AIRoSIP), 2023
Muhammad Chaerullah   +2 more
openaire   +1 more source

CS-PMD: A Compressive Sensing ToF Camera based on the Photonic Mixer Device

2017
In this chapter we present a prototype of a CS-oriented ToF camera based on the PMD. The main goal of the prototype, which has been fully developed at the ZESS, is to serve as a platform where to implement the concepts of CS and sparse recovery in spatial and frequency domains presented in Section 4.4 and Section 4.5, respectively.
openaire   +1 more source

Exploiting compressed sensing (CS) and RNA operations for effective content-adaptive image compression and encryption

Optik, 2022
Yang Lu   +5 more
openaire   +1 more source

DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing

Digital Signal Processing, 2020
Michael Iliadis   +2 more
exaly  

ASAUN-CS: Adaptive Stage Activated Unfolding Network for Compressive Sensing

2024 IEEE International Symposium on Circuits and Systems (ISCAS)
Jian Yang   +4 more
openaire   +1 more source

Application of Compressive Sensing in Cognitive Radio Communications: A Survey

IEEE Communications Surveys and Tutorials, 2016
Symeon CHATZINOTAS   +2 more
exaly  

Compressive Light Transport Sensing

ACM Transactions on Graphics, 2009
Pieter Peers   +2 more
exaly  

Secure Wireless Communications Based on Compressive Sensing: A Survey

IEEE Communications Surveys and Tutorials, 2019
Yushu Zhang, Leo Yu Zhang, Song Guo
exaly  

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