Elektrik - Elektronik Mühendisliği Bölümü Koleksiyonu

Permanent URI for this collectionhttps://gcris.khas.edu.tr/handle/20.500.12469/47

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Browsing Elektrik - Elektronik Mühendisliği Bölümü Koleksiyonu by Author "Alsan, Hüseyin Fuat"

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    Citation Count: 3
    Detection of Trojans in integrated circuits
    (IEEE, 2012) Özmen, Atilla; Güçlüoğlu, Tansal; Özmen, Atilla; Alsan, Hüseyin Fuat; Macit, Mustafa Can
    This paper presents several signal processing approaches in Trojan detection problem in very large scale integrated circuits. Specifically wavelet transforms spectrograms and neural networks are used to analyze power side-channel signals. Trojans in integrated circuits can try to hide themselves and become almost invisible due to process and measurement noises. We demonstrate that our initial results with these techniques are promising in successful detection. Discrete wavelet transforms and spectrograms can provide clear visual assistance in detecting Trojans by catching the time-scale differences and time-frequency activities introduced by the Trojans. Furthermore neural networks with sufficient training are also used and simulation results show that correct decisions are possible with a very high success rate. © 2012 IEEE.
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    Citation Count: 2
    Modeling of Visible Light Channels and Performance Analysis of ACO-OFDM
    (IEEE, 2015) Şenol, Habib; Panayırcı, Erdal; Miramirkhani, Farshad; Panayırcı, Erdal; Şenol, Habib; Uysal, Murat
    Spectrum scarcity of traditional radio communication has led communication engineers to find new alternatives. Indoor visible light communication is one alternative to solve this problem since its spectrum is not regulated and it has much wider bandwidth then traditional communication systems. This increased the research done in the field of visible light communications. However a proper indoor channel model is lacking and all previous studies assumes that only additive white Gaussian noise (AWGN) is present. Lack of proper channel model has motivated us to model a realistic indoor visible light channel. After modeling the indoor visible light channel the performance of an asymmetrically clipped optical OFDM (ACO-OFDM) system which is suitable for optical communications is investigated and compared to that of the AWGN optical channels.
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    VLC Sparse Channel Estimation in the Presence of Non-Gaussian Clipping Noise
    (IEEE, 2016) Panayırcı, Erdal; Alsan, Hüseyin Fuat; Panayırcı, Erdal
    In this paper a new computationally efficient and high performance channel estimation algorithm is proposed for the indoor visible light communication (VLC) sparse channels in the presence of a clipping noise. The clipping noise is modelled as a Gaussian mixture and a first time in the literature the matching pursuit (MP) and the space-alternating expectation-maximization (SAGE) algorithms are combined into the new estimation called the SAGE-MP algorithm for iteratively estimating the sparse channel coefficients as well as their positions efficiently. The MP algorithm is also employed to determine the initial values of the joint iterative algorithm. Computed simulations indicates that the SAGE-MP algorithm converge in 3 iterations at most and yields excellent bit error rate (BER) and mean-square error (MSE) performances for DC-biased optical OFDM (DCO-OFDM) based systems.
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    VLC Sparse Channel Estimation in the Presence of Non-Gaussian Clipping Noise [Gauss Olmayan Kırpma Gürültüsü Altında VLC Seyrek Kanal Kestirimi]
    (Institute of Electrical and Electronics Engineers Inc., 2016) Panayırcı, Erdal; Alsan, Hüseyin Fuat; Panayırcı, Erdal
    In this paper a new computationally efficient and high performance channel estimation algorithm is proposed for the indoor visible light communication (VLC) sparse channels in the presence of a clipping noise. The clipping noise is modelled as a Gaussian mixture and a first time in the literature the matching pursuit (MP) and the space-alternating expectation- maximization (SAGE) algorithms are combined into the new estimation called the SAGE-MP algorithm for iteratively estimating the sparse channel coefficients as well as their positions efficiently. The MP algorithm is also employed to determine the initial values of the joint iterative algorithm. Computed simulations indicates that the SAGE-MP algorithm converge in 3 iterations at most and yields excellent bit error rate (BER) and mean-square error (MSE) performances for DC-biased optical OFDM (DCO-OFDM) based systems. © 2016 IEEE.