Authors
Lionel Fillatre, Igor Nikiforov, Marc Antonini, Abdourrahmane Atto,
Title
Uniformly most powerful detection for integrate and fire time encoding
In
Proceedings of the 22nd European Signal Processing Conference (EUSIPCO)
Pages
1103–1107
Publisher
IEEE
Year
2014
Indexed by
Abstract
A time encoding of a random signal is a representation of this signal as a random sequence of strictly increasing times. The goal of this paper is the rule for testing the mean value of a Gaussian signal from asynchronous samples given by the Integrate and Fire (IF) time encoding. The optimal likelihood ratio test is calculated and its statistical performance is compared with a synchronous test which is based on regular samples of the Gaussian signal. Since the IF samples based detector takes a decision at a random time, the regular samples based test exploits a random number of samples. The time encoding significantly reduces the number of samples needed to satisfy a prescribed probability of detection.
Affiliations
Offprint