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Now showing items 11-19 of 19
Linear expansions for frequency selective channels in OFDM
(Elsevier GMBH Urban & Fischer Verlag, 2006)
Modeling the frequency selective fading channels as random processes we employ a linear expansion based on the Karhumen-Loeve (KL) series representation involving a complete set of orthogonal deterministic vectors with a ...
Extending the lifetime of WSNs with Maximum Energy Selection Algorithm (MESA)
(Institute of Electrical and Electronics Engineers Inc., 2017)
The limited battery supply of a sensor node is one of the most important factors that limit the lifetime of the WSNs. As a consequence increasing the lifetime of WSNs through energy efficient mechanisms has become a ...
Sparse underwater acoustic channel estimation in colored Gaussian noise [Renkli? Gauss gürültülü seyrek sualtı akusti?k kanalların kestirimi]
(IEEE, 2012)
Cooperative underwater acoustic communication systems come into prominence in recent years. Since underwater channels are sparse and additive noise entering the system is colored Gaussian noise. Therefore it is very difficult ...
Routing performance analysis of opportunistic networks with flooding and partial flooding methods [Fırsatçı a?larda taşırma ve kısmi taşırma yöntemleriyle yönlendirme performans analizi]
(IEEE, 2012)
Opportunistic networks is one of the fast developing research areas in mobile communications. Under opportunistic networks mobile nodes try to communicate with other nodes without any prior information and knowledge about ...
Connected navigation of non-communicating mobile agents
(IEEE, 2012)
This article discusses the connectivity of autonomous mobile robots that do not have communication capabilities. We show that if the group members follow the proposed Local Steering Strategy which utilizes information only ...
Semiblind joint channel estimation and equalization for OFDM systems in rapidly varying channels
(2010)
We describe a new joint iterative channel estimation and equalization algorithm for joint channel estimation and data detection for orthogonal frequency division multiplexing (OFDM) systems in the presence of frequency ...
A low-complexity KL expansion-based channel estimator for OFDM systems
(2005)
This paper first proposes a computationally efficient pilot-aided linear minimum mean square error (MMSE) batch channel estimation algorithm for OFDM systems in unknown wireless fading channels. The proposed approach employs ...
Pilot-aided bayesian MMSE channel estimation for OFDM systems: Algorithm and performance analysis
(2004)
This paper proposes a computationally efficient pilot-aided minimum mean square error (MMSE) channel estimation algorithm for OFDM systems. The proposed approach employs a convenient representation of the discrete multipath ...
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 ...