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temporal, correlational and

by Stefano Panzeri, Simon R. Schultz , 2000
"... A unified approach to the study of ..."
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A unified approach to the study of

temporally correlated

by M Soleimani, A Adler
"... impedance tomography guided cryosurgery for the brain using a ..."
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impedance tomography guided cryosurgery for the brain using a

Spatio-temporal correlation: theory and applications for wireless sensor networks

by Mehmet C. Vuran, Ozg€ur B. Akan, Ian F. Akyildiz - Computer Networks Journal (Elsevier , 2004
"... Wireless Sensor Networks (WSN) are characterized by the dense deployment of sensor nodes that continuously observe physical phenomenon. Due to high density in the network topology, sensor observations are highly correlated in the space domain. Furthermore, the nature of the physical phenomenon const ..."
Abstract - Cited by 121 (12 self) - Add to MetaCart
constitutes the temporal correlation between each consecutive observation of a sensor node. These spatial and temporal correlations along with the collaborative nature of the WSN bring significant potential advantages for the development of efficient communication protocols well-suited for the WSN paradigm

TEMPORAL CORRELATION OF DEFAULTS IN SUBPRIME SECURITIZATION

by Eric Hillebrand, Ambar N. Sengupta, Junyue Xu
"... ABSTRACT. The securitization of subprime mortgages in instruments like mortgage-backed securities and collateralized debt obligations is one of the key ingredients to the current financial crisis. During 2007 and 2008, subprime defaults increased sharply, displaying high serial correlation in their ..."
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corre-lation propagates from the common risk factor to default rates. We simulate prices of mortgage-backed securities, which are securitized from pools of mortgages using a waterfall structure. We find that subse-quent vintages of these securities inherit temporal correlation from the common risk

SPATIALLY AND TEMPORALLY CORRELATED WIRELESS CHANNELS

by Larry T. Younkins
"... As the demand for advanced wireless services continues to grow, system designers must employ innovative signal processing techniques to increase data throughput and maintain reliablity under adverse channel conditions. Multi-antenna techniques, such as space-time coding and beamforming, have shown p ..."
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for spatially and temporally correlated wireless channels. First, we propose a general space-time covariance model that is applicable to arbitrary scatterer geometry, arbitrary array geometry at thebase station and the mobile, and includes Doppler effects due to mobile motion. We then apply this model

Distortion invariant object recognition in the dynamic link architecture

by Martin Lades, Jan C. Vorbrüggen, Joachim Buhmann, Christoph v. d. Malsburg, Rolf P. Würtz, Wolfgang Konen - IEEE TRANSACTIONS ON COMPUTERS , 1993
"... We present an object recognition system based on the Dynamic Link Architecture, which is an extension to classical Artificial Neural Networks. The Dynamic Link Architecture ex-ploits correlations in the fine-scale temporal structure of cellular signals in order to group neurons dynamically into hig ..."
Abstract - Cited by 637 (80 self) - Add to MetaCart
We present an object recognition system based on the Dynamic Link Architecture, which is an extension to classical Artificial Neural Networks. The Dynamic Link Architecture ex-ploits correlations in the fine-scale temporal structure of cellular signals in order to group neurons dynamically

On exploiting spatial and temporal correlation in wireless sensor networks

by Ian F. Akyildiz, Mehmet C. Vuran, Özgür B. Akan - In Proceedings of WiOpt 2004: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks , 2004
"... Abstract. In densely deployed wireless sensor networks (WSN), sensor observations are highly correlated in the space domain. Furthermore, the nature of the physical phenomenon constitutes the temporal correlation between each consecutive observation of a sensor node. These spatial and temporal corre ..."
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Abstract. In densely deployed wireless sensor networks (WSN), sensor observations are highly correlated in the space domain. Furthermore, the nature of the physical phenomenon constitutes the temporal correlation between each consecutive observation of a sensor node. These spatial and temporal

Climate and atmospheric history of the past 420,000 years from the Vostok ice core,

by J R Petit , J Jouzel , D Raynaud , N I Barkov , J.-M Barnola , I Basile , M Bender , J Chappellaz , M Davisk , G Delaygue , M Delmotte , V M Kotlyakov , M Legrand , V Y Lipenkov , C Lorius , L Pé , C Ritz , E Saltzmank , M Stievenard - Antarctica. Nature , 1999
"... Antarctica has allowed the extension of the ice record of atmospheric composition and climate to the past four glacial-interglacial cycles. The succession of changes through each climate cycle and termination was similar, and atmospheric and climate properties oscillated between stable bounds. Inte ..."
Abstract - Cited by 716 (15 self) - Add to MetaCart
. Interglacial periods differed in temporal evolution and duration. Atmospheric concentrations of carbon dioxide and methane correlate well with Antarctic air-temperature throughout the record. Present-day atmospheric burdens of these two important greenhouse gases seem to have been unprecedented during the past

Spatio-temporal correlations and visual signaling in a complete neuronal population

by Jonathan W. Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M. Litke, E. J. Chichilnisky, Eero P. Simoncelli , 2008
"... ..."
Abstract - Cited by 152 (34 self) - Add to MetaCart
Abstract not found

Long-range temporal correlations of ocean surface currents

by Y Ashkenazy , H Gildor , 2009
"... [1] We study the temporal correlations of sea surface currents at the Gulf of Eilat (also known as Gulf of Aqaba) and find long-range temporal correlations, from a timescale of several hours to a timescale of several months. This is done using the Fourier transform and the Detrended Fluctuation Ana ..."
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[1] We study the temporal correlations of sea surface currents at the Gulf of Eilat (also known as Gulf of Aqaba) and find long-range temporal correlations, from a timescale of several hours to a timescale of several months. This is done using the Fourier transform and the Detrended Fluctuation
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