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Browsing by Author "Altınkaya, Mustafa Aziz"
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Bayesian estimation of polynomial moving average models with unknown degree of nonlinearity
Karakuş, Oktay; Kuruoğlu, Ercan Engin; Altınkaya, Mustafa Aziz (IEEE, 2016)Various real world phenomena such as optical communication channels, power amplifiers and movement of sea vessels exhibit nonlinear characteristics. The nonlinearity degree of such systems is assumed to be known as a general ... -
Bayesian Volterra system identification using reversible jump MCMC algorithm
Karakuş, Oktay; Kuruoğlu, Ercan Engin; Altınkaya, Mustafa Aziz (Elsevier, 2017-12)Volterra systems have had significant success in modelling nonlinear systems in various real-world applications. However, it is generally assumed that the nonlinearity degree of the system is known beforehand. In this ... -
Benefits of averaging lateration estimates obtained using overlapped subgroups of sensor data
Altınkaya, Mustafa Aziz (Elsevier, 2013-01)In this paper, we suggest averaging lateration estimates obtained using overlapped subgroups of distance measurements as opposed to obtaining a single lateration estimate from all of the measurements directly if a redundant ... -
Beyond trans-dimensional RJMCMC with a case study in impulsive data modeling
Karakuş, Oktay; Kuruoğlu, Ercan Engin; Altınkaya, Mustafa Aziz (Elsevier, 2018-12)Reversible jump Markov chain Monte Carlo (RJMCMC) is a Bayesian model estimation method, which has been generally used for trans-dimensional sampling and model order selection studies in the literature. In this study, we ... -
Generalised Bayesian model selection using reversible jump Markov chain Monte Carlo
Karakuş, Oktay (Izmir Institute of Technology, 2017-11)The main objective of this thesis is to suggest a general Bayesian framework for model selection based on reversible jump Markov chain Monte Carlo (RJMCMC) algorithm. In particular, we aim to reveal the undiscovered ... -
Inverse problems and regularization in signal processing with applications to wireless channel estimation
Şahin, Ahmet (Izmir Institute of Technology, 2011)The research presented in this thesis is on inverse problems encountered in the field of signal processing. Theory, classification and solution techniques of linear discrete inverse problems (LDIP) are investigated. LDIP ... -
A novel acoustic indoor localization system employing CDMA
Sertatıl, Cem; Altınkaya, Mustafa Aziz; Raoof, Kosai (Elsevier, 2012-05)Nowadays outdoor location systems have been used extensively in all fields of human life from military applications to daily life. However, these systems cannot operate in indoor applications. Hence, this paper considers ... -
On "A flexible window function for spectral analysis"
Altınkaya, Mustafa Aziz (IEEE, 2011-07)In March 2010, a windowing function that is based on the well-known Butterworth filters was proposed [1] with the claim that it can solve “the tradeoff problem between the frequency resolution and spectral leakage in the ... -
One-day ahead wind speed/power prediction based on polynomial autoregressive model
Karakuş, Oktay; Kuruoğlu, Ercan Engin; Altınkaya, Mustafa Aziz (Institution of Engineering and Technology, 2017-09)Wind has been one of the popular renewable energy generation methods in the last decades. Foreknowledge of power to be generated from wind is crucial especially for planning and storing the power. It is evident in various ... -
Phase dependence mitigation for autocorrelation-based frequency estimation
Altınkaya, Mustafa Aziz; Anarım, Emin; Sankur, Bülent (Elsevier, 2008-03)The sinusoidal frequency estimation from short data records based on Toeplitz autocorrelation (AC) matrix estimates suffer from the dependence on the initial phases of the sinusoid(s). This effect becomes prominent when ... -
Phase noise mitigation in the autocorrelation estimates with data windowing: The case of two close sinusoids
Altınkaya, Mustafa Aziz; Anarım, Emin; Sankur, Bülent (EURASIP, 2006)We address the phase noise and the superresolution problem in Toeplitz matrix-based spectral estimates. The Toeplitz autocorrelation (AC) matrix approach in spectral estimation brings in an order of magnitude computational ... -
Removal of the phase noise in the autocorrelation estimates with data windowing
Altınkaya, Mustafa Aziz; Anarım, Emin; Sankur, Bülent (IEEE, 2005)The sinusoidal frequency estimation from short data records based on Toeplitz autocorrelation (AC) matrix estimates suffer from phase noise. This effect becomes prominent especially when additive noise vanishes becoming a ... -
Subspace-based frequency estimation of sinusoidal signals in alpha-stable noise
Altınkaya, Mustafa Aziz; Deliç, Hakan; Sankur, Bülent; Anarım, Emin (Elsevier, 2002-12)In the frequency estimation of sinusoidal signals observed in impulsive noise environments, techniques based on Gaussian noise assumption are unsuccessful. One possible way to find better estimates is to model the noise ...
