Results 41 to 50 of about 1,002,666 (308)
A Data-Adaptive Compressed Sensing Approach to Polarimetric SAR Tomography of Forested Areas [PDF]
, 2013 Super-resolution imaging via compressed sensing (CS)-based spectral estimators has been recently introduced to synthetic aperture radar (SAR) tomography.
Nannini, Matteo +2 more
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Compressed quantitative MRI: Bloch response recovery through iterated projection [PDF]
, 2014 Inspired by the recently proposed Magnetic Resonance Fingerprinting technique, we develop a principled compressed sensing framework for quantitative MRI.
Wiaux, Yves; id_orcid +8 more
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International Journal of Engineering Technologies and Management Research, 2020 Compressive sensing is a relatively new technique in the signal processing field which allows acquiring signals while taking few samples. It works on two principles: sparsity, which pertains to the signals of interest, and incoherence, which pertains to the sensing modality.
openaire +3 more sources
Compressed Measurements Based Spectrum Sensing for Wideband Cognitive Radio Systems
International Journal of Antennas and Propagation, 2015 Spectrum sensing is the most important component in the cognitive radio (CR) technology. Spectrum sensing has considerable technical challenges, especially in wideband systems where higher sampling rates are required which increases the complexity and ...
Taha A. Khalaf +2 more
doaj +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
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Combinatorial Regression and Improved Basis Pursuit for Sparse Estimation [PDF]
, 2012 Sparse representations accurately model many real-world data sets. Some form of sparsity is conceivable in almost every practical application, from image and video processing, to spectral sensing in radar detection, to bio-computation and genomic signal ...
Khajehnejad, M. Amin
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, 2022 Il compressed sensing è una tecnica di risoluzione di un sistema indeterminato di equazioni lineari sotto le ipotesi che la soluzione del sistema sia S-sparsa, ovvero che in un'opportuna rappresentazione abbia al più S elementi non nulli.
Celin, Alberto
core
Compressed Sensing and Fluorescence Microscopy [PDF]
, 2022 La mia tesina tratta della tecnica di acquisizione dati del compressed sensing e di una sua applicazione nel microscopio a fluorescenza. Attraverso questa tecnica è infatti possibile acquisire direttamente la versione compressa del segnale, ignorando in
Bizzotto, Chiara
core
Compressed Sensing in Astronomy [PDF]
IEEE Journal of Selected Topics in Signal Processing, 2008 Recent advances in signal processing have focused on the use of sparse representations in various applications. A new field of interest based on sparsity has recently emerged: compressed sensing. This theory is a new sampling framework that provides an alternative to the well-known Shannon sampling theory.
Jérôme Bobin +2 more
openaire +4 more sources
Compressed Sensing Image Mapping Spectrometer
IEEE Access, 2019 This paper presents a novel snapshot imaging spectrometer based on the image mapping and compressed sensing concept named Compressed Sensing Image Mapping Spectrometer (CSIMS).
Xiaoming Ding
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