IEEE - Institute of Electrical and Electronics Engineers, Inc. - Comparison of compressed sensing based algorithms for sparse signal reconstruction

2016 24th Signal Processing and Communication Application Conference (SIU)

Author(s): Safa Celik ; Mehmet Basaran ; Serhat Erkucuk ; Hakan Ali Cirpan
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 May 2016
Conference Location: Zonguldak, Turkey
Conference Date: 16 May 2016
Page(s): 1,441 - 1,444
ISBN (Electronic): 978-1-5090-1679-2
ISBN (USB): 978-1-5090-1678-5
DOI: 10.1109/SIU.2016.7496021
Regular:

Compressed sensing theory shows that any signal which is defined as sparse in a given domain can be reconstructed using fewer linear projections instead of using all Nyquist-rate samples. In this... View More

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