TY - GEN
T1 - Implementation models for analog-to-information conversion via random sampling
AU - Ragheb, Tamer
AU - Kirolos, Sami
AU - Laska, Jason
AU - Gilbert, Anna
AU - Strauss, Martin
AU - Baraniuk, Richard
AU - Massoud, Yehia
N1 - Generated from Scopus record by KAUST IRTS on 2022-09-13
PY - 2007/12/1
Y1 - 2007/12/1
N2 - We develop a framework for analog-to-information conversion based on the theory of information recovery from random samples. The framework enables sub-Nyquist acquisition and processing of wideband signals that are sparse in a local Fourier representation. We present the random sampling theory associated with an efficient information recovery algorithm to compute the spectrogram of the signal. Additionally, we develop a hardware design for the random sampling system that demonstrates a consistent reconstruction fidelity in the presence of sampling jitter, which forms the main source of non-ideality in a practical system implementation. ©2007 IEEE.
AB - We develop a framework for analog-to-information conversion based on the theory of information recovery from random samples. The framework enables sub-Nyquist acquisition and processing of wideband signals that are sparse in a local Fourier representation. We present the random sampling theory associated with an efficient information recovery algorithm to compute the spectrogram of the signal. Additionally, we develop a hardware design for the random sampling system that demonstrates a consistent reconstruction fidelity in the presence of sampling jitter, which forms the main source of non-ideality in a practical system implementation. ©2007 IEEE.
UR - http://ieeexplore.ieee.org/document/4488599/
UR - http://www.scopus.com/inward/record.url?scp=51449085351&partnerID=8YFLogxK
U2 - 10.1109/MWSCAS.2007.4488599
DO - 10.1109/MWSCAS.2007.4488599
M3 - Conference contribution
SN - 1424411769
SP - 325
EP - 328
BT - Midwest Symposium on Circuits and Systems
ER -