A Method for Generalized Sampling and Reconstruction of Finite-Rate-of-Innovation Signals

We address the problem of generalized sampling and reconstruction of finite-rate-of-innovation signals. Specifically, we consider the problem of sampling streams of Dirac impulses and propose a two-channel method that enables fast, local reconstruction under some suitable conditions. We also specify some acquisition kernels and give the associated reconstruction formulas. It turns out that these kernels can also be combined into one kernel, which can be employed in the single-channel sampling scenario. The single-kernel approach carries over all the advantages of the two-channel counterpart. Simulation results are presented to validate the theoretical calculations.


Published in:
Proceedings of the Eighth International Workshop on Sampling Theory and Applications (SampTA'09), Marseille, French Republic
Year:
2009
Publisher:
LATP
Laboratories:




 Record created 2015-09-18, last modified 2018-03-17

External links:
Download fulltextURL
Download fulltextURL
Download fulltextURL
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)