New mobile communication system design for Rayleigh environments based on compressed sensing‐source coding-Reference-Cited by-同舟云学术

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New mobile communication system design for Rayleigh environments based on compressed sensing‐source coding

Published:2019-09 Issue:15 Volume:13 Page:2375-2385
ISSN:1751-8636
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Haneche Houria¹,Ouahabi Abdeldjalil²³,Boudraa Bachir¹

Affiliation:

1. LCPTSUniversity of Sciences and Technology Houari Boumediene (USTHB)B.P. 32 El‐AliaBab‐Ezzouar16111AlgiersAlgeria

2. Imaging and Brain INSERM U 930Polytech Tours7 avenue Marcel Dassault37200ToursFrance

3. LIMPAFComputer Science DepartmentBouira UniversityBouiraAlgeria

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-com.2018.5348

Reference30 articles.

1. An Introduction To Compressive Sampling

2. Compressed sensing

3. A low‐complexity hardware implementation of compressed sensing‐based channel estimation for ISDB‐T system;Ferdian R.;IEEE Trans. Broadcast.,2017

4. Novel Compressed Sensing-Based Channel Estimation Algorithm and Near-Optimal Pilot Placement Scheme

5. Sparse frequency domain spectrum sensing and sharing based on cyclic prefix autocorrelation;Dikmese S.;IEEE J. Sel. Areas Commun.,2017

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