TY - GEN
T1 - Multidimensional unlimited sampling
T2 - 28th European Signal Processing Conference, EUSIPCO 2020
AU - Bouis, Vincent
AU - Krahmer, Felix
AU - Bhandari, Ayush
N1 - Publisher Copyright:
© 2021 European Signal Processing Conference, EUSIPCO. All rights reserved.
PY - 2021/1/24
Y1 - 2021/1/24
N2 - The recently introduced unlimited sampling theorem proves that a one-dimensional bandlimited function can be perfectly recovered from a constant factor oversampling of its modulo samples. The advantage of this approach is that arbitrary high-dynamic-range signals can be recovered without sensor saturation or clipping. In this paper, we prove a multidimensional version of the unlimited sampling theorem that works with arbitrary sampling lattices. We also present a geometrical perspective on the emerging class of modulo sampling problem that is based on the topology of quotient spaces.
AB - The recently introduced unlimited sampling theorem proves that a one-dimensional bandlimited function can be perfectly recovered from a constant factor oversampling of its modulo samples. The advantage of this approach is that arbitrary high-dynamic-range signals can be recovered without sensor saturation or clipping. In this paper, we prove a multidimensional version of the unlimited sampling theorem that works with arbitrary sampling lattices. We also present a geometrical perspective on the emerging class of modulo sampling problem that is based on the topology of quotient spaces.
KW - Lattice theory
KW - Multidimensional signal processing
KW - Quotient spaces
KW - Shannon sampling theory
UR - http://www.scopus.com/inward/record.url?scp=85099289973&partnerID=8YFLogxK
U2 - 10.23919/Eusipco47968.2020.9287529
DO - 10.23919/Eusipco47968.2020.9287529
M3 - Conference contribution
AN - SCOPUS:85099289973
T3 - European Signal Processing Conference
SP - 2314
EP - 2318
BT - 28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings
PB - European Signal Processing Conference, EUSIPCO
Y2 - 24 August 2020 through 28 August 2020
ER -