The Experts below are selected from a list of 116124 Experts worldwide ranked by ideXlab platform
Per Øyvind Eid Fjuk - One of the best experts on this subject based on the ideXlab platform.
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Underwater Radio Communication
2013Co-Authors: Per Øyvind Eid FjukAbstract:In subsea applications, there is a growing demand for high-speed wireless Communication links for transmitting data between different equipment. Radio Communication is constrained by the high attenuation in seawater. Only a very short range is achievable, even at low frequencies. In this thesis an independent, battery-driven Radio frequency transmitter is developed and tested to investigate the properties of, and prove the concept of underwater Radio Communication. The transmitter is made on the basis of a cNODE Research Midi system from Kongsberg Maritime. A software-defined Radio receiver is used to measure and store the received signal for post-processing. BPSK modulated data is transmitted through seawater with a 5 MHz carrier with several data rates from 237 bps to 46.598 kbps. Two tests with approximately 50 m and 11 m depths in Trondheimsfjorden have been conducted. Maximum range was measured to be close to 5 m at 9 m depth with 1 W (+30 dBm) output power. Although, this is believed to be in an area where there might be a lot of freshwater mixed in the seawater, which would in theory improve the range compared to for pure seawater. Data from the software-defined Radio has been successfully demodulated with a custom made MATLAB program for all data rates, hence proven the underwater Radio Communication concept.
Hermann Caesperlein - One of the best experts on this subject based on the ideXlab platform.
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Mobile Radio Communication for European Railways
Advances in Human-Computer Interaction, 1995Co-Authors: Hermann CaesperleinAbstract:This paper presents the concept of mobile Radio Communication and its applicability for the railway services. The requirements for safety relevant services are presented together with the requirements for teleCommunication services for the passengers and other railways administrative services. The technical aspects of the mobile Radio Communication are presented and the importance of the standardization of the mobile Radio Communication for the European railway transport is discussed.
Wu Tai-hu - One of the best experts on this subject based on the ideXlab platform.
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Short rang Radio Communication and its application to medical monitoring system
Chinese Medical Equipment Journal, 2008Co-Authors: Wu Tai-huAbstract:Several short range Radio Communication standards get involved in, including non-standard protocol Radio, Bluetooth protocol, Zigbee protocol. The present situation, particularly the advantages and disadvantages of medical monitoring systems based on short range Radio Communication in China and other countries are discussed. New technology and standard in this field, and their effects on medical monitoring system are also available.
Charles T Clancy - One of the best experts on this subject based on the ideXlab platform.
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unsupervised representation learning of structured Radio Communication signals
arXiv: Learning, 2016Co-Authors: Timothy J Oshea, Johnathan Corgan, Charles T ClancyAbstract:We explore unsupervised representation learning of Radio Communication signals in raw sampled time series representation. We demonstrate that we can learn modulation basis functions using convolutional autoencoders and visually recognize their relationship to the analytic bases used in digital Communications. We also propose and evaluate quantitative met- rics for quality of encoding using domain relevant performance metrics.
T. Charles Clancy - One of the best experts on this subject based on the ideXlab platform.
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SPLINE - Unsupervised representation learning of structured Radio Communication signals
2016 First International Workshop on Sensing Processing and Learning for Intelligent Machines (SPLINE), 2016Co-Authors: Timothy J. O'shea, Johnathan Corgan, T. Charles ClancyAbstract:We explore unsupervised representation learning of Radio Communication signals in raw sampled time series representation. We demonstrate that we can learn modulation basis functions using convolutional autoencoders and visually recognize their relationship to the analytic bases used in digital Communications. We also propose and evaluate quantitative metrics for quality of encoding using domain relevant performance metrics.
