Multi-channel random demodulation for hardware efficient compressive sensing

Sami Smaili; Yehia Massoud

doi:10.1109/NEWCAS.2014.6934012

Multi-channel random demodulation for hardware efficient compressive sensing

Sami Smaili, Yehia Massoud

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

In this paper we propose and analyze the multichannel random demodulator, a compressive sensing system employing multiple random demodulation channels. This system fills the gap between a single channel system, the random demodulator, and an M channel system, which acquires one measurement per channel. The trade-off for changing the number of channels involves hardware efficiency and compactness. We provide an analysis of this trade-off and study the performance of the multi-channel random demodulator.

Original language	English (US)
Title of host publication	2014 IEEE 12th International New Circuits and Systems Conference, NEWCAS 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	177-180
Number of pages	4
ISBN (Print)	9781479948857
DOIs	https://doi.org/10.1109/NEWCAS.2014.6934012
State	Published - Oct 22 2014
Externally published	Yes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2022-09-13

Access to Document

10.1109/NEWCAS.2014.6934012

Cite this

@inproceedings{d88b0705d44b4bfb871422d624abc1da,

title = "Multi-channel random demodulation for hardware efficient compressive sensing",

abstract = "In this paper we propose and analyze the multichannel random demodulator, a compressive sensing system employing multiple random demodulation channels. This system fills the gap between a single channel system, the random demodulator, and an M channel system, which acquires one measurement per channel. The trade-off for changing the number of channels involves hardware efficiency and compactness. We provide an analysis of this trade-off and study the performance of the multi-channel random demodulator.",

author = "Sami Smaili and Yehia Massoud",

note = "Generated from Scopus record by KAUST IRTS on 2022-09-13",

year = "2014",

month = oct,

day = "22",

doi = "10.1109/NEWCAS.2014.6934012",

language = "English (US)",

isbn = "9781479948857",

pages = "177--180",

booktitle = "2014 IEEE 12th International New Circuits and Systems Conference, NEWCAS 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

}

TY - GEN

T1 - Multi-channel random demodulation for hardware efficient compressive sensing

AU - Smaili, Sami

AU - Massoud, Yehia

N1 - Generated from Scopus record by KAUST IRTS on 2022-09-13

PY - 2014/10/22

Y1 - 2014/10/22

N2 - In this paper we propose and analyze the multichannel random demodulator, a compressive sensing system employing multiple random demodulation channels. This system fills the gap between a single channel system, the random demodulator, and an M channel system, which acquires one measurement per channel. The trade-off for changing the number of channels involves hardware efficiency and compactness. We provide an analysis of this trade-off and study the performance of the multi-channel random demodulator.

AB - In this paper we propose and analyze the multichannel random demodulator, a compressive sensing system employing multiple random demodulation channels. This system fills the gap between a single channel system, the random demodulator, and an M channel system, which acquires one measurement per channel. The trade-off for changing the number of channels involves hardware efficiency and compactness. We provide an analysis of this trade-off and study the performance of the multi-channel random demodulator.

UR - http://ieeexplore.ieee.org/document/6934012/

UR - http://www.scopus.com/inward/record.url?scp=84914689511&partnerID=8YFLogxK

U2 - 10.1109/NEWCAS.2014.6934012

DO - 10.1109/NEWCAS.2014.6934012

M3 - Conference contribution

SN - 9781479948857

SP - 177

EP - 180

BT - 2014 IEEE 12th International New Circuits and Systems Conference, NEWCAS 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Multi-channel random demodulation for hardware efficient compressive sensing

Abstract

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this