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kaiserslautern, germany
It's currently 5:42 AM here
Joined August 16, 2015
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Bin H.
@hoknethan
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kaiserslautern, germany
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Electronic/Telecommunication Engineer
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Experience
Research Fellow
Jul 2016 - Present
Research & teaching in the field of wireless communication, with focus on 5G networks and signal processing
Wissenschaftlicher Mitarbeiter (Researching Associate)
Oct 2012 - Present
Research & Development in the field of power line communication: channel measurement, channel characterization, channel emulation. Designing signal processing algorithms , programming in different languages (C++, Matlab, Python), digital hardware implementation (FPGA, microcontroller) and analog hardware implementation (PCB design).
Tutoring the lab course “Micro-Controller and Digital Signal Processors".
Responsible for several industrial projects in the field of power line communications
HiWi (Student Assistent)
Aug 2012 - Sep 2012 (1 month, 1 day)
Software transplantation: from obj-C to HTML5 + Javascript
Education
Dr.-Ing. (PhD)
(4 years)
M. Sc. Elektrotechnik
(3 years)
B. Sc. Electronic Engineering
(4 years)
Publications
Software Defined Radio for Power Line Communication Research and Development
2015 ACM Software Radio Implementation Forum (SRIF)
In this paper, we give a brief introduction to the power line communication (PLC) basics and show how to interface an off-the-shelf USRP to the power supply network. Additionally, we present benefits and sample applications of a software defined PLC system
A Novel Approach of Canceling Cyclo- Stationary Noise in Low-Voltage Power Line Communications
2015 IEEE International Conference on Communications (ICC)
In this work, the cyclic properties of both of narrowband noise and periodic impulsive noise are investigated. Based on the results, an universal algorithm is developed to detect and cancel them from power line communication signals.
An Online Approach for ICP Forecasting Based on Signal Decomposition and Robust Statistics
2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
We proposed an online intracranial pressure (ICP) forecasting method requiring only low rate signal sampling (0.1 Hz). Our ARIMA based forecasting method applies empirical mode decomposition (EMD) to remove non-stationarities from the ICP signal, and robust estimation to mitigate the influence of motion induced artifacts.
Chameleo-AD: Real-time targeted interactive advertisement for digital signage
The Best of IET and IBC 2011
In this paper we present an integrated approach to interactive, real-time targeted multimedia advertisement for digital signage, based on visual audience analysis.
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