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Proceedings Paper

L1 minimization applied to two sparse signals that can be described as sums of elementary functions
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Paper Abstract

Compressive sampling is a technique used in digital signal processing, which allows for the capture of high resolution physical signals from relatively few measurements. This technique is illustrated here for two simple cases: a signal to be that can be expressed as a sum of three sine functions and another one that can be expressed as a sum of three Bessel functions of the first kind. In order to perform a compressive sampling one must use correct measurement vectors and this is a quite complicated problem. In this paper a simple algorithm for obtaining the correct measurement vectors for illustration and pedagogical purposes is shown.

Paper Details

Date Published: 20 February 2015
PDF: 6 pages
Proc. SPIE 9258, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies VII, 92581B (20 February 2015); doi: 10.1117/12.2071829
Show Author Affiliations
Petre Cătălin Logofătu, National Institute for Laser, Plasma and Radiation Physics (Romania)


Published in SPIE Proceedings Vol. 9258:
Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies VII
Ionica Cristea; Marian Vladescu; Razvan Tamas, Editor(s)

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