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1 Ergebnisse
1
One-Bit Quadratic Compressed Sensing: From Sample Abundance..:
, In:
2023 IEEE International Symposium on Information Theory (ISIT)
,
Eamaz, Arian
;
Yeganegi, Farhang
;
Needell, Deanna
. - p. 1154-1159 , 2023
Link:
https://doi.org/10.1109/ISIT54713.2023.10206479
RT T1 <cTitle>2023 IEEE International Symposium on Information Theory (ISIT)</cTitle>: T1 <Title>One-Bit Quadratic Compressed Sensing: From Sample Abundance to Linear Feasibility</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10206479&Exemplar=1&LAN=DE A1 Eamaz, Arian A1 Yeganegi, Farhang A1 Needell, Deanna A1 Soltanalian, Mojtaba YR 2023 SN 2157-8117 K1 Linear systems K1 Quantization (signal) K1 Power demand K1 Costs K1 Signal processing algorithms K1 Optimization K1 Compressed sensing SP 1154 OP 1159 LK http://dx.doi.org/https://doi.org/10.1109/ISIT54713.2023.10206479 DO https://doi.org/10.1109/ISIT54713.2023.10206479 SF ELIB - SuUB Bremen
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