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Open AccessEditorial

Information Theory Applications in Signal Processing

1
Departamento de Teoría de la Señal y Comunicaciones, Universidad de Sevilla, Camino de los Descubrimientos s/n, 41092 Seville, Spain
2
Fraunhofer Heinrich Hertz Institute HHI, 10587 Berlin, Germany
*
Authors to whom correspondence should be addressed.
Entropy 2019, 21(7), 653; https://doi.org/10.3390/e21070653
Received: 18 June 2019 / Accepted: 1 July 2019 / Published: 3 July 2019
(This article belongs to the Special Issue Information Theory Applications in Signal Processing)
Note: In lieu of an abstract, this is an excerpt from the first page.

The birth of Information Theory, right after the pioneering work of Claude Shannon and his celebrated publication of the paper “A mathematical theory of Communication” [...] View Full-Text
Keywords: information theory applications; signal processing; communications; machine learning; data analysis; image and audio processing information theory applications; signal processing; communications; machine learning; data analysis; image and audio processing
MDPI and ACS Style

Cruces, S.; Martín-Clemente, R.; Samek, W. Information Theory Applications in Signal Processing. Entropy 2019, 21, 653. https://doi.org/10.3390/e21070653

AMA Style

Cruces S, Martín-Clemente R, Samek W. Information Theory Applications in Signal Processing. Entropy. 2019; 21(7):653. https://doi.org/10.3390/e21070653

Chicago/Turabian Style

Cruces, Sergio; Martín-Clemente, Rubén; Samek, Wojciech. 2019. "Information Theory Applications in Signal Processing" Entropy 21, no. 7: 653. https://doi.org/10.3390/e21070653

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Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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