conference paper
Wavelet and footprint sampling of signals with a finite rate of innovation
2004
IEEE Conference on Acoustics, Speech and Signal Processing
In this paper, we consider classes of not bandlimited signals, namely, streams of Diracs and piecewise polynomial signals, and show that these signals can be sampled and perfectly reconstructed using wavelets as sampling kernel. Due to the multiresolution structure of the wavelet transform, these new sampling theorems naturally lead to the development of a new resolution enhancement algo- rithm based on wavelet footprints [2]. Preliminary results show the potentiality of this algorithm.
Type
conference paper
Author(s)
Date Issued
2004
Published in
IEEE Conference on Acoustics, Speech and Signal Processing
Volume
2
Start page
941
End page
944
Editorial or Peer reviewed
NON-REVIEWED
Written at
EPFL
EPFL units
| Event name | Event place | Event date |
Montreal, Québec, Canada | 17-21 May 2004 | |
Available on Infoscience
April 18, 2005
Use this identifier to reference this record