A new stochastic algorithm inspired on genetic algorithms to estimate signals with finite rate of innovation from noisy samples-Reference-Cited by-同舟云学术

A new stochastic algorithm inspired on genetic algorithms to estimate signals with finite rate of innovation from noisy samples

Published:2010-01 Issue:1 Volume:90 Page:134-144
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Erdozain Aitor,Crespo Pedro M.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference22 articles.

1. Digital Signal Processing;Proakis,1998

2. Analog-to-digital converter survey and analysis;Walden;IEEE Journal on Selected Areas of Communication,1999

3. J. Kusuma, I. Maravić, M. Vetterli, Sampling with finite rate of innovation: channel and timing estimation for UWB and GPS, in: IEEE International Conference on Communications, ICC’03, 2003.

4. The Shannon sampling theorem—its various extensions and applications: a tutorial review;Jerri;Proceedings of the IEEE,1997

5. Sampling—50 years after Shannon;Unser;Proceedings of IEEE,2000

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