Compressed Sensing: Applications in Radar and Communications | Zendy

Sandra Costanzo | Zendy; Ãlvaro Rocha | Zendy; Marco Donald Migliore | Zendy

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Compressed Sensing: Applications in Radar and Communications

Author(s) -

Sandra Costanzo,

Ãlvaro Rocha,

Marco Donald Migliore

Publication year - 2016

Publication title -

the scientific world journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.453

H-Index - 93

eISSN - 2356-6140

pISSN - 1537-744X

DOI - 10.1155/2016/5407415

Subject(s) - computer science , compressed sensing , focus (optics) , radar , feature (linguistics) , telecommunications , waveform , representation (politics) , data science , real time computing , artificial intelligence , linguistics , philosophy , physics , politics , law , political science , optics

Compressed Sensing is an emerging approach exploiting the sparsity feature of a signal to give accurate waveform representation at reduced sampling rate, below the ShannonNyquist conditions, thus leading to efficient radar and communication systems, with reduced complexity and cost. The aim of this special issue is to provide an international forum for experts and researchers working in the area of Compressed Sensing applied to radar and communication contexts, in order to explore the state of the art of such techniques and to present new advanced concepts and results. This special issue collects 6 papers from 14 authors belonging to different countries and institutions. It summarizes the most recent developments and ideas on emerging Compressed Sensing approaches, with particular focus addressed to the following issues:

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