Browsing by Author "Özmen, A."

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    Amplitude and Frequency Modulation Behaviours of Cellular Neural Networks
    (2012) Tander, B.; Özmen, Atilla; Özmen, A.; Electrical-Electronics Engineering
    As is well known, Amplitude Modulation (AM) and Frequency Modulation (FM) are the most popular modulation techniques in communications [1]. Classically, they are designed as individual systems at transmitters; however in this study, it is shown that, both can be realized under a single architecture, specifically on a Cellular Neural Network with an opposite sign template (CNN-OST). First, the CNN-OST is introduced and then, AM and FM behaviours of this structure are explained. Simulations are carried out where satisfactory results are found and finaly, the advantages and drawbacks of the proposed system are discussed. © 2012 IEEE.
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    Citation - Scopus: 2
    Analytical approaches for the amplitude and frequency computations in the astable cellular neural networks with opposite sign templates
    (2007) Özmen, Atilla; Özmen, A.; Electrical-Electronics Engineering
    In this paper, by using surface fitting methods, analytical approaches for amplitudes and frequencies of the x1,2(t) "States" in a simple dynamical neural network called "Cellular Neural Network with Opposite Sign Templates" which was proposed by Zou and Nossek [1], are obtained under oscillation conditions. The mentioned explicit expressions are employed in a cellular neural network based, amplitude and frequency tuneable oscillator design.
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    A Numerical Method for Frequency Determination in the Astable Cellular Neural Networks With Opposite-Sign Templates
    (2006) Özmen, A.; Özmen, Atilla; Tander, B.; Electrical-Electronics Engineering
    In this study, a numerical method is proposed to determine the oscillation frequencies in the astable cellular neural networks with opposite-sign templates [1]. This method depends on the training of a multilayer perceptron that uses various template coefficients and the correspondant frequency values as inputs and outputs. First of all, a frequency surface is obtained from templates and then, training samples are picked from this surface in order to apply to multilayer perceptron. The effects of the template coefficients to the oscillation frequencies are also investigated. Furthermore, an oscillator design is carried out for simulation and the performance as well as the advantages of the proposed method are evaluated. © 2006 IEEE.
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    Real Time Detection and Classification of Age Range Smart Signs at Tv Broadcast
    (2011) Özmen, A.; Özmen, Atilla; Tander, B.; Başkan, M.; Electrical-Electronics Engineering
    In this paper, real time detection and classification of the "Smart Signs", which appear at the beginning and after the commercial breaks of the programs at national TV channels, that indicates the appropriate viewer ages for the broadcast, is realized by using a fast image processing technique. For this purpose, circular Hough Transform (CHT) and a circle detection algorithm depending on the determination of center of gravity of closed objects is carried out for the segmentation of these signs and afterwards a Multilayer Perceptron (MLP) is utilized for the classification process at the video signals. © 2011 IEEE.