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Weight Exchange in Distributed Learning
(IEEE, 2016)
Neural networks may allow different organisations to extract knowledge from the data they collect about a similar problem domain. Moreover learning algorithms usually benefit from being able to use more training instances. ...
Effect of Inter-Block-Interference-Free Region on Compressed Sensing Based Channel Estimation in TDS-OFDM Systems
(IEEE, 2016)
Time domain synchronous orthogonal frequency division multiplexing (TDS-OFDM) is the basis technology for digital television standard (DTV) employed in some countries thanks to its high spectral efficiency when compared ...
Alternative Transducer Power Gain Expression in Broadband Matching Network Designs
(IEEE, 2016)
In this paper a reflection coefficient based transducer power gain expression has been derived which is an alternative to the impedance based expression exists in the literature. A broadband double matching problem is ...
Generalized LED Index Modulation Optical OFDM for MIMO Visible Light Communications Systems
(IEEE, 2016)
In this paper we propose a generalized light emitting diode (LED) index modulation scheme for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) visible light communications (VLC) systems. ...
Channel estimation for visible light communications using neural networks
(Institute of Electrical and Electronics Engineers Inc., 2016)
Visible light communications (VLC) is an emerging field in technology and research. Estimating the channel taps is a major requirement for designing reliable communication systems. Due to the nonlinear characteristics of ...
Noncoherent Ultra Wideband Wireless Sensor Networks for Primary User Detection
(IEEE Computer Society, 2016)
As a result of increasing demand for new technologies unlicensed usage of available spectrum has become very essential to provide an efficient usage of spectrum. For that reason sensor networks may be a reliable option to ...
Broadband single matching with lumped elements
(Institute of Electrical and Electronics Engineers Inc., 2016)
While designing broadband single matching networks for microwave communication systems via commercially available software tools it is necessary for these tools to select the proper matching network topology and element ...
Neural Network Design for the Recurrence Prediction of Post-Operative Non-Metastatic Kidney Cancer Patients
(Institute of Electrical and Electronics Engineers Inc., 2016)
In this paper various post-operative recurrence estimation models called nomograms for the kidney cancer patients without any metastates are introduced and novel systems based on a Multilayer Perceptron Neural Network are ...