Browsing by Author "Alsan, Hüseyin Fuat"
Now showing items 1-4 of 4
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Detection of Trojans in integrated circuits
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Publisher and Date:(IEEE, 2012)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 ...
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Modeling of Visible Light Channels and Performance Analysis of ACO-OFDM
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Publisher and Date:(IEEE, 2015)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) ...
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VLC Sparse Channel Estimation in the Presence of Non-Gaussian Clipping Noise
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Publisher and Date:(IEEE, 2016)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 ...
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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]
Authors:
Publisher and Date:(Institute of Electrical and Electronics Engineers Inc., 2016)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 ...
