Personal profile

Education / Academic qualification

PHD, University of Minnesota-Minneapolis

… → 2001

MS, University of Virginia

… → 1998

BS, Florida Institute of Technology

… → 1995

Fingerprint Fingerprint is based on mining the text of the persons scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 1 Similar Profiles
Fading channels Engineering & Materials Science
Antennas Engineering & Materials Science
Channel estimation Engineering & Materials Science
Sensors Engineering & Materials Science
Orthogonal frequency division multiplexing Engineering & Materials Science
Wireless sensor networks Engineering & Materials Science
Ultra-wideband (UWB) Engineering & Materials Science
Channel state information Engineering & Materials Science

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Research Output 1997 2018

  • 2870 Citations
  • 23 h-Index
  • 114 Conference contribution
  • 70 Article
  • 3 Patent
  • 2 Chapter

Distributed Network Structure Estimation using Consensus Methods

Zhang, S., Tepedelenlioglu, C., Spanias, A. & Banavar, M. Jan 1 2018 In : Synthesis Lectures on Communications. 10, 1, p. 1-88 88 p.

Research output: Contribution to journalArticle

Wireless sensor networks
Parallel algorithms
Military applications
Graph theory
Sensor nodes

Rapidly time-varying channel estimation for full-duplex amplify-and-forward one-way relay networks

Senol, H., Li, X. & Tepedelenlioglu, C. Jun 1 2018 In : IEEE Transactions on Signal Processing. 66, 11, p. 3056-3069 14 p.

Research output: Contribution to journalArticle

Channel estimation
Mean square error
Channel state information
Computer simulation

A signal recovery method for array processing

Fan, J., Spanias, A. & Tepedelenlioglu, C. 2017 Proceedings of the IASTED International Conference Modelling, Identification and Control, MIC 2017. Acta Press, Vol. 848, p. 133-137 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Array processing
Recovery
Matrix Completion
Missing Data
Simulation Methods

A Unified Approach for Modeling Fading Channels Using Infinitely Divisible Distributions

Rajan, A., Tepedelenlioglu, C. & Zeng, R. Sep 28 2017 (Accepted/In press) In : IEEE Transactions on Vehicular Technology.

Research output: Contribution to journalArticle

Infinitely Divisible Distribution
Fading Channels
Random variables
Fading channels
Random variable
1 Citations

A unified fading model using generalized gamma convolutions

Rajan, A., Tepedelenlioglu, C. & Zeng, R. May 10 2017 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 7925519

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Convolution
Random variables
Fading (radio)
Communication

Projects 2002 2020