Abstract
The approximation of stable linear time-invariant (LTI) systems is studied for the Paley–Wiener space $ \mathcal {PW}_{\pi }^{1}$ of bandlimited functions with absolutely integrable Fourier transform. For pointwise sampling, it is known that there exist stable LTI systems and functions such that the approximation process diverges, regardless of the oversampling factor. Recently, it was shown that the divergence can be overcome by using more general measurement functionals that are based on a complete orthonormal system. However, this approach requires the approximation process to have an increased bandwidth. In this paper, a two channel approximation process is presented that is uniformly convergent for all stable LTI systems and all functions in $ \mathcal {PW}_{\pi }^{1}$ . An advantage of the two channel approach compared with the one channel approach is the reduction of the approximation bandwidth, which can be exactly the same as the input function bandwidth.
Full Text
Topics from this Paper
Stable Linear Time-invariant Systems
Complete Orthonormal System
Bandlimited Functions
Linear Time-invariant
Linear Time-invariant Systems
+ Show 5 more
Create a personalized feed of these topics
Get StartedTalk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Similar Papers
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Mar 2, 2017
Jan 1, 2015
IEEE Transactions on Signal Processing
May 15, 2019
IEEE Transactions on Automatic Control
Sep 1, 2009
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Apr 19, 2015
2017 Iranian Conference on Electrical Engineering (ICEE)
May 1, 2017
Proceedings of the 2004 American Control Conference
Jan 1, 2004
Signal Processing
May 1, 2013
IEEE Transactions on Signal Processing
May 1, 2011
IMA Journal of Applied Mathematics
Jun 1, 2004
IMA Journal of Applied Mathematics
Jun 1, 2004
2016 24th European Signal Processing Conference (EUSIPCO)
Aug 1, 2016
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Nov 1, 2023
IEEE Transactions on Information Theory
Nov 1, 2023
IEEE Transactions on Information Theory
Nov 1, 2023
IEEE Transactions on Information Theory
Nov 1, 2023
IEEE Transactions on Information Theory
Nov 1, 2023
IEEE Transactions on Information Theory
Nov 1, 2023
IEEE Transactions on Information Theory
Nov 1, 2023
IEEE Transactions on Information Theory
Nov 1, 2023
IEEE Transactions on Information Theory
Nov 1, 2023
IEEE Transactions on Information Theory
Nov 1, 2023