Reconstruction of finite rate of innovation signals in a noisy scenario: a robust, accurate estimation algorithm

The paradigmatic example of signals with finite rate of innovation (FRI) is a linear combination of a finite number of Diracs per time unit, a.k.a. spike sequence. Many researchers have investigated the problem of estimating the innovative part of a spike sequence, i.e., time instants t k s and weig...

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Bibliographic Details
Published in:	Signal, image and video processing Vol. 14; no. 8; pp. 1707 - 1715
Main Authors:	Najjarzadeh, Meisam, Sadjedi, Hamed
Format:	Journal Article
Language:	English
Published:	London Springer London 01.11.2020 Springer Nature B.V
Subjects:	Algorithms Computer Imaging Computer Science Image Processing and Computer Vision Innovations Maximum likelihood estimation Multimedia Information Systems Noise Original Paper Parameter estimation Particle swarm optimization Pattern Recognition and Graphics Reconstruction Robustness (mathematics) Signal,Image and Speech Processing Spikes Vision Maximum likelihood estimation Modified particle swarm optimization Sampling and reconstruction Finite rate of innovation signals Spike sequence
ISSN:	1863-1703, 1863-1711
Online Access:	Get full text
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