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pro vyhledávání: '"Movahed, Amin"'
We propose an iterative decoding method, which we call turbo-CS, for the reception of concatenated source-channel encoded sparse signals transmitted over an AWGN channel. The turbo-CS encoder applies 1-bit compressed sensing as a source encoder conca
Externí odkaz:
http://arxiv.org/abs/1505.00494
Autor:
Movahed, Amin, Reed, Mark C.
We consider compressive sensing as a source coding method for signal transmission. We concatenate a convolutional coding system with 1-bit compressive sensing to obtain a serial concatenated system model for sparse signal transmission over an AWGN ch
Externí odkaz:
http://arxiv.org/abs/1403.3159
Autor:
Movahed, Amin
This thesis addresses the signal reconstruction problem in the quantised compressed sensing (CS) framework. In particular, signal reconstruction algorithms for the scenario where the CS measurements are quantised to only one bit, referred to as 1-bit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6b71ccb5c9efc84c377045064dddad5
Akademický článek
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Publikováno v:
2016 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP); 2016, p3796-3800, 5p
Publikováno v:
2016 Australian Communications Theory Workshop (AusCTW); 2016, p24-28, 5p
Autor:
Movahed, Amin, Reed, Mark C.
Publikováno v:
2014 IEEE International Conference on Communications (ICC); 2014, p4518-4523, 6p
Publikováno v:
2014 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP); 2014, p6454-6458, 5p