Browsing MF - Makale Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering by Citation

Now showing items 33-52 of 180

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      Cilingiroglu, U., Chen, S., & Cilingiroglu, E. (2004). Range sensing with a scheimpflug camera and a CMOS sensor/processor chip. IEEE Sensors Journal, 4(1), 36-44. doi:10.1109/JSEN.2003.820368 [1]
      Çicek, İ., Bozkurt, A. & Karaman, M. (2005). Design of a front-end integrated circuit for 3D acoustic imaging using 2D CMUT arrays. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 52(12), 2235-2241. doi:10.1109/TUFFC.2005.1563266 [1]
      Çırpan, H. A., Panayırcı, E. & Çekli, E. (2002). Maximum likelihood blind channel estimation for space-time coding systems. Eurasip Journal on Applied Signal Processing, 2002(5), 497-506. doi:10.1155/S1110865702000847 [1]
      Çırpan, H. A., Panayırcı, E. & Doğan, H. (2004). Iterative channel estimation approach for space‐time/frequency coded OFDM systems with transmitter diversity. European Transactions on Telecommunications, 15(3), 235-248. doi:10.1002/ett.969 [1]
      Dalva, D., Güz, Ü. & Gürkan, H. (2018). Effective semi-supervised learning strategies for automatic sentence segmentation. Pattern Recognition Letters, 105(SI), 76-86. doi:10.1016/j.patrec.2017.10.010 [1]
      Değertekin, F. L., Güldiken, R. O. & Karaman, M. (2006). Annular-ring CMUT arrays for forward-looking IVUS: Transducer characterization and imaging. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 53(2), 474-482. doi:10.1109/TUFFC.2006.1593387 [1]
      Demirci, U., Ergün, A. S., Oralkan, Ö. & Khuri-Yakub, B. T. (2004). Forward-viewing CMUT arrays for medical imaging. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 49; 51(7), 887-895. doi:10.1109/TUFFC.2004.1320749 [1]
      Dobre, O. A., Öner, M. M., Rajan, S. & Inkol, R. (2012; 2011). Cyclostationarity-based robust algorithms for QAM signal identification. IEEE Communications Letters, 16(1), 12-15. doi:10.1109/LCOMM.2011.112311.112006 [1]
      Doğan, M. & İstefanopulos, Y. (2007). Optimal nonlinear controller design for flexible robot manipulators with adaptive internal model. IET Control Theory And Applications, 1(3), 770-778. doi:10.1049/iet-cta:20040272 [1]
      Dönmez, B., Mitra, R. & Miramirkhani, F. (2021). Channel modeling and characterization for VLC-based medical body sensor networks: trends and challenges. IEEE Access, 9, 153401-153419. doi:10.1109/ACCESS.2021.3127941 [1]
      Edemen, Ç. & Kaya, O. (2014). Cognitive cooperative MAC with one primary and two secondary users: Achievable rates and optimal power control. IEEE Communications Letters, 18(11), 1895-1898. doi:10.1109/LCOMM.2014.2360519 [1]
      Fatemi, M. R. H., Ateş, H. F. & Salleh, R. B. (2010). Fast algorithm analysis and bit-serial architecture design for sub-pixel motion estimation in H.264. Journal of Circuits, Systems, and Computers, 19(8), 1665-1687. doi:10.1142/S0218126610006980 [1]
      Fatemi, M. R. H., Ateş, H. F. & Salleh, R. B. (2013). A survey of algorithms and architectures for H.264 sub-pixel motion estimation. Journal of Circuits, Systems, and Computers, 21(3), 1-22. doi:10.1142/S0218126612500168 [1]
      Fatemi, M. R. H., Ateş, H. F. & Salleh, R. B. (2013). Analysis and design of low-cost bit-serial architectures for motion estimation in H.264/AVC. Journal of Signal Processing Systems, 71(2), 111-121. doi:10.1007/s11265-012-0686-2 [1]
      Faydasıçok, O. & Arık, S. (2013). An analysis of stability of uncertain neural networks with multiple time delays. Journal of the Franklin Institute-Engineering and Applied Mathematics, 350(7), 1808-1826. doi:10.1016/j.jfranklin.2013.05.006 [1]
      Faydasıçok, Ö. & Arık, S. (2012). Equilibrium and stability analysis of delayed neural networks under parameter uncertainties. Applied Mathematics and Computation, 218(12), 6716-6726. doi:10.1016/j.amc.2011.12.036 [1]
      Faydasıçok, Ö. & Arık, S. (2012). Further analysis of global robust stability of neural networks with multiple time delays. Journal of The Franklin Institute-Engineering and Applied Mathematics, 349(3), 813-825. doi:10.1016/j.jfranklin.2011.11.007 [1]
      Faydasıçok, Ö. & Arık, S. (2012). Robust stability analysis of a class of neural networks with discrete time delays. Neural Networks, 29-30, 52-59. doi:10.1016/j.neunet.2012.02.001 [1]
      Faydasıçok, Ö. & Arık, S. (2013). A new robust stability criterion for dynamical neural networks with multiple time delays. Neurocomputing, 99, 290-297. doi:10.1016/j.neucom.2012.07.004 [1]
      Faydasıçok, Ö. & Arık, S. (2013). A new upper bound for the norm of interval matrices with application to robust stability analysis of delayed neural networks. Neural Networks, 44, 64-71. doi:10.1016/j.neunet.2013.03.014 [1]