Open AccessCompressive sampling for time critical microwave imaging applications
Author(s) -
Craven Darren,
O'Halloran Martin,
McGinley Brian,
Conceicao Raquel C.,
Kilmartin Liam,
Jones Edward,
Glavin Martin
Publication year - 2014
Publication title -
healthcare technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.45
H-Index - 19
ISSN - 2053-3713
DOI - 10.1049/htl.2013.0043
Subject(s) - compressed sensing , computer science , data acquisition , microwave imaging , sampling (signal processing) , time domain , iterative reconstruction , signal reconstruction , microwave , radar , signal processing , computer vision , artificial intelligence , telecommunications , filter (signal processing) , operating system
Across all biomedical imaging applications, there is a growing emphasis placed on reducing data acquisition and imaging times. This research explores the use of a technique, known as compressive sampling or compressed sensing (CS), as an efficient technique to minimise the data acquisition time for time critical microwave imaging (MWI) applications. Where a signal exhibits sparsity in the time domain, the proposed CS implementation allows for sub‐sampling acquisition in the frequency domain and consequently shorter imaging times, albeit at the expense of a slight degradation in reconstruction quality of the signals as the compression increases. This Letter focuses on ultra wideband (UWB) radar MWI applications where reducing acquisition is of critical importance therefore a slight degradation in reconstruction quality may be acceptable. The analysis demonstrates the effectiveness and suitability of CS with UWB applications.