Publication

Multichannel Sampling of Signals With Finite Rate of Innovation

Pier Luigi Dragotti, Loïc Arnaud Baboulaz
2010
Journal Articles

Abstract

In this letter, we present a possible extension of the theory of sampling signals with finite rate of innovation (FRI) to the case of multichannel acquisition systems. The essential issue of a multichannel system is that each channel introduces different unknown delays and gains that need to be estimated for the calibration of the channels. We pose both the synchronization stage and the signal reconstruction stage as a parametric estimation problem and demonstrate that a simultaneous exact synchronization of the channels and reconstruction of the FRI signal is possible. We also consider the case of noisy measurements and evaluate the Cramér-Rao bounds (CRB) of the proposed system. Numerical results as well as the CRB show clearly that multichannel systems are more resilient to noise than the single-channel ones.

Official source

https://infoscience.epfl.ch/entities/publication/6f6e7766-0b7d-4e78-8cf2-be6431430c57

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Pier Luigi Dragotti, Loïc Arnaud Baboulaz
2010
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/6f6e7766-0b7d-4e78-8cf2-be6431430c57

About this result

Related concepts (32)

Signal

In signal processing, a signal is a function that conveys information about a phenomenon. Any quantity that can vary over space or time can be used as a signal to share messages between observers. The IEEE Transactions on Signal Processing includes audio, video, speech, , sonar, and radar as examples of signals. A signal may also be defined as observable change in a quantity over space or time (a time series), even if it does not carry information.

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Multichannel Sampling of Signals With Finite Rate of Innovation

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