TY - GEN
T1 - Structure of the set of signals with strong divergence of the Shannon sampling series
AU - Boche, Holger
AU - Monich, Ullrich J.
AU - Tampubolon, Ezra
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/16
Y1 - 2017/6/16
N2 - It is known that there exist signals in Paley-Wiener space PWπ1 of bandlimited signals with absolutely integrable Fourier transform, for which the peak value of the Shannon sampling series diverges unboundedly. In this paper we analyze the structure of the set of signals which lead to strong divergence. Strong divergence is closely linked to the existence of adaptive methods. We prove that there exists an infinite dimensional closed subspace of PW1π1, all signals of which, except the zero signal, lead to strong divergence of the peak value of the Shannon sampling series.
AB - It is known that there exist signals in Paley-Wiener space PWπ1 of bandlimited signals with absolutely integrable Fourier transform, for which the peak value of the Shannon sampling series diverges unboundedly. In this paper we analyze the structure of the set of signals which lead to strong divergence. Strong divergence is closely linked to the existence of adaptive methods. We prove that there exists an infinite dimensional closed subspace of PW1π1, all signals of which, except the zero signal, lead to strong divergence of the peak value of the Shannon sampling series.
KW - Paley-Wiener space
KW - Shannon sampling series
KW - reconstruction process
KW - spaceability
KW - strong divergence
UR - http://www.scopus.com/inward/record.url?scp=85023766828&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2017.7953020
DO - 10.1109/ICASSP.2017.7953020
M3 - Conference contribution
AN - SCOPUS:85023766828
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 4561
EP - 4565
BT - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
Y2 - 5 March 2017 through 9 March 2017
ER -