M
Murat Uysal
Researcher at Özyeğin University
Publications - 510
Citations - 17305
Murat Uysal is an academic researcher from Özyeğin University. The author has contributed to research in topics: Fading & Visible light communication. The author has an hindex of 54, co-authored 470 publications receiving 14434 citations. Previous affiliations of Murat Uysal include AT&T & University of Waterloo.
Papers
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Proceedings ArticleDOI
Performance Analysis of Amplify-and-Forward Relaying with Mismatched-Coherent and Partially-Coherent Receivers
B. Gedik,Murat Uysal +1 more
TL;DR: This paper investigates the error rate performance of amplify-and-forward (AF) relaying with imperfect channel estimation with extensive Monte Carlo simulations and quantifies the impact of channel estimation through the derivation of pairwise error probability.
Proceedings ArticleDOI
EM-Based Maximum-Likelihood Sequence Detection for MIMO Optical Wireless Systems
TL;DR: An iterative sequence detector based on the expectation-maximization (EM) algorithm for IM/DD MIMO OW systems over log-normal atmospheric turbulence channels and results demonstrate that the EM-based algorithm outperforms the symbol-by-symbol decoder and achieves a performance within 0.5 dB of that of the optimal MLSD.
Proceedings ArticleDOI
Adaptive power loading for OFDM cooperative networks
Osama Amin,Murat Uysal +1 more
TL;DR: This paper investigates power allocation strategies for an orthogonal frequency division multiplexing (OFDM) cooperative network over frequency-selective fading channels and proposes a power loading algorithm to minimize the bit error rate under total transmission power constraint for a given data rate.
Proceedings ArticleDOI
Information theoretic analysis and optimization of underwater acoustic communication systems
Hatef Nouri,Murat Uysal +1 more
TL;DR: An expression for underwater channel capacity is derived which is later used to optimize the carrier frequency and input signaling and the effect of several system and environmental parameters such as distance, temperature, depth, etc. on the capacity is demonstrated.
Automatic road detection from orthophoto images
TL;DR: In this study, aerial photographs of a certain area of Afyon Kocatepe University Ahmet Necdet Sezer Campus were obtained by using unmanned aerial vehicles (UAV) and the object-based classification approach was used to automatic detection and classify the roads of the university in the digital environment.