Deep learning for compressive sensing : a ubiquitous systems perspective

Machidon, Alina Luminita (avtor), Pejović, Veljko (avtor)

Compressive sensing (CS) is a mathematically elegant tool for reducing the sensor sampling rate, potentially bringing context-awareness to a wider range of devices. Nevertheless, practical issues with the sampling and reconstruction algorithms prevent further proliferation of CS in real world domains, especially among heterogeneous ubiquitous devices. Deep learning (DL) naturally complements CS for adapting the sampling matrix, reconstructing the signal, and learning from the compressed samples. While the CS–DL integration has received substantial research interest recently, it has not yet been thoroughly surveyed, nor has any light been shed on practical issues towards bringing the CS–DL to real world implementations in the ubiquitous computing domain. In this paper we identify main possible ways in which CS and DL can interplay, extract key ideas for making CS–DL efficient, outline major trends in the CS–DL research space, and derive guidelines for the future evolution of CS–DL within the ubiquitous computing domain.

• Jezik: Angleški jezik
• Ključne besede: neural networks, deep learning, compressive sensing, ubiquitous computing
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.02 - Pregledni znanstveni članek
• Organizacija: FRI - Fakulteta za računalništvo in informatiko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2023
• Št. strani: Str. 3619-3658
• Številčenje: Vol. 56, iss. 4
• PID: 20.500.12556/RUL-155349
• UDK: 004.8
• ISSN pri članku: 0269-2821
• DOI: 10.1007/s10462-022-10259-5
• COBISS.SI-ID: 129878019
• Datum objave v RUL: 27.03.2024

Gradivo je del revije

• Naslov: Artificial intelligence review
• Skrajšan naslov: Artif. intell. rev.
• Založnik: Springer Nature
• ISSN: 0269-2821
• COBISS.SI-ID: 15632133

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: nevronske mreže, globoko učenje, kompresijsko zaznavanje, vseprisotno računalništvo