Browsing Elektrik - Elektronik Mühendisliği Bölümü Koleksiyonu by Title
Now showing items 253-272 of 279
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Super-orthogonal trellis-coded spatial modulation
(Inst Engineering Technology-IET, 2012)Spatial modulation (SM) which employs the indices of multiple transmit antennas to transmit information in addition to the conventional M-ary signal constellations is a novel transmission technique that has been proposed ... -
Support vector machines based target tracking techniques
(IEEE, 2006)This paper addresses the problem of aplying powerful statistical pattern classification algorithms based on kernels to target tracking. Rather than directly adapting a recognizer we develop a localizer directly using the ... -
Support vector machines based target tracking techniques [Destek vektör makineleri tabanlı hedef takip yöntemleri]
(2006)This paper addresses the problem of aplying powerful statistical pattern classification algorithms based on kernels to target tracking. Rather than directly adapting a recognizer we develop a localizer directly using the ... -
Support vector regression for surveillance purposes
(Springer-Verlag Berlin, 2006)This paper addresses the problem of applying powerful statistical pattern classification algorithm based on kernel functions to target tracking on surveillance systems. Rather than directly adapting a recognizer we develop ... -
Synchronization in Wireless Communications
(Hindawi Publishing Corporation, 2009)[Abstract Not Available] -
Synthesis of cascaded lossless commensurate lines
(IEEE-INST Electrical Electronics Engineers Inc, 2008)A scattering transfer matrix factorization based algorithm for cascaded lossless commensurate line synthesis is presented. The characteristic impedances of the extracted commensurate lines and the reflection factors of the ... -
Synthesis of lossless ladder networks with simple lumped elements connected via commensurate transmission lines
(AVES YAYINCILIK, 2010)An algorithm has been proposed, to synthesize low-pass, high-pass, band-pass and band-stop lossless ladder networks with simple lumped elements connected via commensurate transmission lines (Unit elements, UEs). First, ... -
Synthesis of lossless ladder networkswith simple lumped elements connected viacommensurate transmission lines
(Istanbul University, 2010)An algorithm has been proposed to synthesize low-pass high-pass band-pass and band-stop lossless ladder networks with simple lumped elements connected via commensurate transmission lines (Unit elements UEs). First the type ... -
Synthesis of resistively terminated high-pass LC ladder networks [Direnç ile sonlandırılmış yüksek geçiren LC merdiven devrelerin sentezi]
(2010)In this paper a transfer matrix factorization based synthesis algorithm for resistively terminated high-pass LC ladder networks is presented. In the algorithm component value of the extracted element and the scattering ... -
Synthesis of resistively terminated LC ladder networks
(Istanbul University, 2011)In this work element value calculation algorithms have been proposed for low-pass high-pass band-pass and band-stop LC ladder networks. According to the calculated constant from the given transfer scattering matrix the ... -
A systems software architecture for training neural fuzzy neural and genetic computational intelligent networks
(IEEE, 2006)A systems software architecture for training distributed neural fuzzy neural and genetic networks and their relevant information models have been developed. Principles of on-line architecture building training managing and ... -
Throughput Maximization for Full Duplex Wireless Powered Communication Networks
(Institute of Electrical and Electronics Engineers Inc., 2020)In this paper, we consider a full duplex wireless powered communication network where multiple users with RF energy harvesting capabilities communicate to a hybrid energy and information access point. An optimization ... -
Throughput maximization in discrete rate based full duplex wireless powered communication networks
(John Wıley & Sons Ltd, 2020)In this study, we consider a discrete rate full-duplex wireless powered communication network. We characterize a novel optimization framework for sum throughput maximization to determine the rate adaptation and transmission ... -
Thyroid and breast cancer disease diagnosis using Fuzzy-neural networks
(2009)In this paper a new hybrid structure in which Neural Network and Fuzzy Logic are combined is proposed and its algorithm is developed. Fuzzy-CSFNN Fuzzy-MLP and Fuzzy-RBF structures are constituted and their performances ... -
Transfer matrix factorization based synthesis of resistively terminated LC ladder networks
(2009)In this paper a transfer matrix factorization based synthesis algorithm for resistively terminated low-pass LC ladder networks is presented. In the algorithm component value of the extracted element and the reflection ... -
Transitional Butterworth-Chebyshev Filters
(IEEE, 2019)Filters which are studied in this paper have properties that lie between those of the Butterworth and Chebyshev filters. So it is appropriate to call this kind of filters as transitional Butterworth-Chebyshev filters. In ... -
Transmitter source location estimation using crowd data
(Pergamon-Elsevier Science Ltd, 2018)The problem of transmitter source localization in a dense urban area has been investigated where a supervised learning approach utilizing neural networks has been adopted. The cellular phone network cells and signals have ... -
Trellis coding for spatial modulation [Uzaysal modulasyon i?çi?n kafes kodlama]
(2011)In this study by combining trellis coding with spatial modulation (SM) a new multiple-input multiple output (MIMO) communication scheme called trellis coded spatial modulation (TC-SM) is proposed. For uncorrelated Rayleigh ... -
UNIFAC application to water-1-propanol-n-amyl alcohol and n-amyl acetate ternaries
(2006)Liquid-liquid equilibrium (LLE) data for water-1-propanol-n-amyl alcohol and water-1-propanol-n-amyl acetate ternaries were measured at T=298.2 K. The UNIFAC model was used to correlate the experimental data. A comparison ... -
Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data Using Deep Learning: Early Detection of COVID-19 Outbreak in Italy
(Ieee-Inst Electrıcal Electronıcs Engıneers Inc, 2020)Unsupervised anomaly detection for spatio-temporal data has extensive use in a wide variety of applications such as earth science, traffic monitoring, fraud and disease outbreak detection. Most real-world time series data ...