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Joint Channel Estimation and Equalization for OFDM based Broadband Communications in Rapidly Varying Mobile Channels
(IEEE, 2010)
This paper is concerned with the challenging and timely problem of channel estimation for orthogonal frequency division multiplexing (OFDM) systems in the presence of frequency selective and very rapidly time varying ...
Channel Equalization with Cellular Neural Networks
(IEEE, 2010)
In this paper a dynamic neural network structure called Cellular Neural Network (CNN) is employed for the equalization in digital communication. It is shown that this nonlinear system is capable of suppressing the effect ...
Parallel Contingency Analysis Using Differential Evolution Based Solution For Branch Outage Problem
(IEEE, 2010)
Contingency analysis is one of the most fundamental work an electricity management center operator has to perform regularly. If both bus voltage magnitudes and reactive power flowing on the branches during any type of ...
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. ...
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. ...
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 ...
Support vector machines based target tracking techniques [Destek vektör makineleri tabanlı hedef takip yöntemleri]
(2006)
This paper addresses the problem of aplying powerful statistical pattern classification algorithms based on kernels to target tracking. Rather than directly adapting a recognizer we develop a localizer directly using the ...
Joint phase noise estimation and source detection [Ortak faz gürültüsü kestirimi ve kaynak sezimlemesi]
(2010)
Rapidly time-varying and random disturbing effects on the phase of a signal waveform are known as phase noise. In this paper we consider the problem of joint detection of continuous-valued information source output and ...
Synthesis of resistively terminated high-pass LC ladder networks [Direnç ile sonlandırılmış yüksek geçiren LC merdiven devrelerin sentezi]
(2010)
In this paper a transfer matrix factorization based synthesis algorithm for resistively terminated high-pass LC ladder networks is presented. In the algorithm component value of the extracted element and the scattering ...