Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Permanent URI for this collectionhttps://hdl.handle.net/11147/11
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Conference Object Citation - Scopus: 1Avrupa Karasal Sayısal Televizyon Standartlarının Tbgg Kanalı Etkisindeki Performans Karşılaştırması(IEEE, 2012) Karakuş, Oktay; Özen, SerdarIn this study, a general simulation of the European Digital Terrestrial Television Broadcasting standards which are known as "Digital Video Broadcasting - Terrestrial (DVB-T)" and "Second Generation Digital Video Broadcasting - Terrestrial (DVB-T2)" are implemented. The both of the standards are simulated under the effects of Additive White Gaussian Noise (AWGN) Channel and the acquired results are compared according to the Target Bit Error Rate (BER) value which is stated in standards. These results show that DVB-T2 standard outperforms DVB-T standard under AWGN Channel and achieves nearly from four to seven decibels power gain according to code rate and modulation parameters. © 2012 IEEE.Conference Object Citation - Scopus: 2Nonlinear model selection for PARMA processes using RJMCMC(IEEE, 2017) Karakuş, Oktay; Kuruoğlu, Ercan Engin; Altınkaya, Mustafa AzizMany prediction studies using real life measure-ments such as wind speed, power, electricity load and rain-fall utilize linear autoregressive moving average (ARMA) based models due to their simplicity and general character. However, most of the real life applications exhibit nonlinear character and modelling them with linear time series may become problematic. Among nonlinear ARMA models, polynomial ARMA (PARMA) models belong to the class of linear-in-the-parameters. In this paper, we propose a reversible jump Markov chain Monte Carlo (RJMCMC) based complete model estimation method which estimates PARMA models with all their parameters including the nonlinearity degree. The proposed method is unique in the manner of estimating the nonlinearity degree and all other model orders and model coefficients at the same time. Moreover, in this paper, RJMCMC has been examined in an anomalous way by performing transitions between linear and nonlinear model spaces. © EURASIP 2017.
