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Deepaknath Tandur
Researcher at Katholieke Universiteit Leuven
Publications - 49
Citations - 872
Deepaknath Tandur is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Orthogonal frequency-division multiplexing & Transmitter. The author has an hindex of 12, co-authored 45 publications receiving 729 citations. Previous affiliations of Deepaknath Tandur include Agilent Technologies & Université catholique de Louvain.
Papers
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Proceedings ArticleDOI
Wireless requirements and challenges in Industry 4.0
TL;DR: This paper focuses the discussion on some of the key wireless communication challenges that will need to be met for the Industry 4.0 era, and looks at how the 5th generation of communication standard may address these requirements.
Journal ArticleDOI
Joint Adaptive Compensation of Transmitter and Receiver IQ Imbalance Under Carrier Frequency Offset in OFDM-Based Systems
Deepaknath Tandur,Marc Moonen +1 more
TL;DR: The effect of both transmitter and receiver IQ imbalance under carrier frequency offset in an OFDM system is studied and an algorithm is developed to compensate for such distortions in the digital domain.
Journal ArticleDOI
MU-MIMO in LTE Systems
Jonathan Duplicy,Biljana Badic,Rajarajan Balraj,Rizwan Ghaffar,Peter Horvath,Florian Kaltenberger,Raymond Knopp,Istvan Z. Kovacs,Hung T. Nguyen,Deepaknath Tandur,Guillaume Vivier +10 more
TL;DR: It is shown that MU-MIMO only offers marginal performance gains with respect to single-user MIMO and calls for improved schemes for the upcoming releases.
Journal ArticleDOI
Image encryption based on modified Henon map using hybrid chaotic shift transform
TL;DR: A new two dimensional modified Henon map (2D-MHM) which is derived fromHenon map is proposed which has broad chaotic regime over an extensive range of system parameters, maximum Lyapunov exponent and better chaotic performance when compared to existing chaotic maps.
Journal ArticleDOI
A Novel Audio Cryptosystem Using Chaotic Maps and DNA Encoding
TL;DR: A new audio cryptosystem based on chaotic maps, hybrid chaotic shift transform (HCST), and deoxyribonucleic acid (DNA) encoding rules is introduced which can achieve good encryption results and is able to resist several cryptographic attacks.