Results 41 to 50 of about 35,538 (312)

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
core   +1 more source

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, Jean-Luc Starck, Roland Ottensamer   +2 more
openaire   +3 more sources

Sampling and reconstructing signals from a union of linear subspaces [PDF]

, 2011
In this note we study the problem of sampling and reconstructing signals which are assumed to lie on or close to one ofseveral subspaces of a Hilbert space.
Blumensath, Thomas, Thomas Blumensath
core   +1 more source

Compressed sensing [PDF]

, 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 Imaging Reconstruction Based on Block Compressed Sensing with Conjugate Gradient Smoothed l0 Norm [PDF]

, 2023
Compressed imaging reconstruction technology can reconstruct high-resolution images with a small number of observations by applying the theory of block compressed sensing to traditional optical imaging systems, and the reconstruction algorithm mainly ...
Yongtian Zhang, Kun Gao, Shuzhong Li, Chao Zeng, Xiaomei Chen   +4 more
core   +1 more source

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
doaj   +1 more source

Deep Compressed Sensing

CoRR, 2019
Compressed sensing (CS) provides an elegant framework for recovering sparse signals from compressed measurements. For example, CS can exploit the structure of natural images and recover an image from only a few random measurements. CS is flexible and data efficient, but its application has been restricted by the strong assumption of sparsity and costly
Yan Wu 0010, Mihaela Rosca, Timothy P. Lillicrap   +2 more
openaire   +3 more sources

Kinetic Compressive Sensing [PDF]

2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2017
5 pages, 6 figures, Submitted to the Conference Record of "IEEE Nuclear Science Symposium and Medical Imaging Conference (IEEE NSS-MIC) 2017"
Scipioni Michele, Santarelli Maria F, Landini Luigi, Catana Ciprian, Greve Douglas N, Price Julie C, Pedemonte Stefano   +6 more
openaire   +3 more sources

A novel cooperative spectrum signal detection algorithm for underwater communication system

EURASIP Journal on Wireless Communications and Networking, 2019
In order to further improve the spectrum resource detection probability and increase the spectrum utilization rate in underwater wireless communication systems, this paper designs a novel multi-layer cooperative spectrum sensing algorithm based on ...
Jiang Xiaolin, Tang Zhengyu, Wang Ronghui   +2 more
doaj   +1 more source