Filters








32 Hits in 6.6 sec

Implementation of Fog computing for reliable E-health applications

Razvan Craciunescu, Albena Mihovska, Mihail Mihaylov, Sofoklis Kyriazakos, Ramjee Prasad, Simona Halunga
2015 2015 49th Asilomar Conference on Signals, Systems and Computers  
Finally, we will provide 'structured' CS algorithms for the joint estimation scheme and evaluate its performance.  ...  The resulting system is highly robust against timing misalignment while attaining high spectral efficiency. Machine-type communications is seen as one of the main drivers of 5G.  ...  MP5a-3 2:20 PM Multitapered Power Spectral Density Estimation for Co-Prime Sensor Arrays Ian Rooney, John Buck, University of Massachusetts Dartmouth, United States Thomson's multitaper method reduces  ... 
doi:10.1109/acssc.2015.7421170 dblp:conf/acssc/CraciunescuMMKP15 fatcat:qm6mki5z6bcvrfimkmqjyrxaxm

Ping-pong beam training for reciprocal channels with delay spread

Elisabeth de Carvalho, Jorgen Bach Andersen
2015 2015 49th Asilomar Conference on Signals, Systems and Computers  
A distributed consensus algorithm for estimating the number of nodes in a wireless sensor network in the presence of communication noise is proposed.  ...  We show that there is a trade-off between the estimation error and the storage at each node: a more accurate estimate requires larger storage at each sensor node.  ...  MP5a-3 2:20 PM Multitapered Power Spectral Density Estimation for Co-Prime Sensor Arrays Ian Rooney, John Buck, University of Massachusetts Dartmouth, United States Thomson's multitaper method reduces  ... 
doi:10.1109/acssc.2015.7421451 dblp:conf/acssc/CarvalhoA15 fatcat:mqokuvnh3zg45licnfbgxyvxfu

Sensorimotor Alpha Activity is Modulated in Response to the Observation of Pain in Others

Stephen Whitmarsh, Ingrid L. C. Nieuwenhuis, Henk P. Barendregt, Ole Jensen
2011 Frontiers in Human Neuroscience  
For every grid point a spatial filter was constructed from the cross-spectral density matrix and the lead field.  ...  We calculated the cross-spectral density matrix based upon both the post-stimulus (200-1400 ms) as well as pre-stimulus (1400-200 ms pre-stimulus) interval to obtain the most accurate estimation of the  ... 
doi:10.3389/fnhum.2011.00091 pmid:22007165 pmcid:PMC3188815 fatcat:vgkm7mrycfe3fbwclsxmbenro4

Multiple Reference Frames in Cortical Oscillatory Activity during Tactile Remapping for Saccades

V. N. Buchholz, O. Jensen, W. P. Medendorp
2011 Journal of Neuroscience  
The gaze-centered representation in PPC was sustained in a high gamma range (85-115 Hz) and increased in power closer to the initiation of the saccade.  ...  We conclude that oscillatory activity reflects the time-varying coding of information in body- and gaze-centered reference frames during tactile remapping for saccades.  ...  For every single subject, the source power was estimated relative to the same baseline interval that was used for the corresponding sensor-level analysis.  ... 
doi:10.1523/jneurosci.3404-11.2011 pmid:22090512 pmcid:PMC6633300 fatcat:lcojywg2mbb47gsffcxvxyhjqu

The differentiated networks related to essential tremor onset and its amplitude modulation after alcohol intake

David J. Pedrosa, Christian Nelles, Peter Brown, Lukas J. Volz, Esther A. Pelzer, Marc Tittgemeyer, John-Stuart Brittain, Lars Timmermann
2017 Experimental Neurology  
For that, we contrasted ET with voluntary (mimicked) tremor before and after ingestion of alcohol to regulate the tremorgenic networks.  ...  We sought to discriminate the contributions of cerebral and cerebellar dysregulation by combining high-density electroencephalography with subject-specific structural MRI.  ...  Spectral analyses Power spectra and cross-spectra were computed using Thomson's multitaper method (Mitra and Pesaran, 1999; Thomson, 1982) .  ... 
doi:10.1016/j.expneurol.2017.07.013 pmid:28754506 pmcid:PMC5584663 fatcat:nubturhdlzbxri6hr3oef4pkru

Maximum Likelihood Estimation [chapter]

2012 Essential Mathematics for Market Risk Management  
Figure 7 . 9 : 79 Different arrays of sensors used in the simulations.  ...  Cross Spectral Density Just as the Power Spectral Density (PSD) is the Fourier transform of the auto-covariance function we may define the Cross Spectral Density (CSD) as the Fourier transform of the cross-covariance  ...  This allows for classification using arbitrary decision boundaries. There is no closed form for the parameters w, but they can be estimated using an optimisation algorithm as described in [6] .  ... 
doi:10.1002/9781118467213.ch16 fatcat:dsyxxsptl5fzzmh6fepwktzrhi

Maximum Likelihood Estimation [chapter]

2008 Studying Human Populations  
Figure 7 . 9 : 79 Different arrays of sensors used in the simulations.  ...  Cross Spectral Density Just as the Power Spectral Density (PSD) is the Fourier transform of the auto-covariance function we may define the Cross Spectral Density (CSD) as the Fourier transform of the cross-covariance  ...  This allows for classification using arbitrary decision boundaries. There is no closed form for the parameters w, but they can be estimated using an optimisation algorithm as described in [6] .  ... 
doi:10.1007/978-0-387-73251-0_2 fatcat:cgdl2f4qk5furgmq56hi4jt3sm

Maximum Likelihood Estimation [chapter]

2000 Statistical Methods for Categorical Data Analysis  
Figure 7 . 9 : 79 Different arrays of sensors used in the simulations.  ...  Cross Spectral Density Just as the Power Spectral Density (PSD) is the Fourier transform of the auto-covariance function we may define the Cross Spectral Density (CSD) as the Fourier transform of the cross-covariance  ...  This allows for classification using arbitrary decision boundaries. There is no closed form for the parameters w, but they can be estimated using an optimisation algorithm as described in [6] .  ... 
doi:10.1016/b978-012563736-7/50009-4 fatcat:hg7m25nkwvf6dahagr5smrayr4

Maximum Likelihood Estimation [chapter]

2013 Methods of Statistical Model Estimation  
Figure 7 . 9 : 79 Different arrays of sensors used in the simulations.  ...  Cross Spectral Density Just as the Power Spectral Density (PSD) is the Fourier transform of the auto-covariance function we may define the Cross Spectral Density (CSD) as the Fourier transform of the cross-covariance  ...  This allows for classification using arbitrary decision boundaries. There is no closed form for the parameters w, but they can be estimated using an optimisation algorithm as described in [6] .  ... 
doi:10.1201/b14932-6 fatcat:zzmwk3me7be2tffxw4wst4wxla

Maximum Likelihood Estimation [chapter]

2000 Handbook of Statistical Analyses Using Stata, Fourth Edition  
Figure 7 . 9 : 79 Different arrays of sensors used in the simulations.  ...  Cross Spectral Density Just as the Power Spectral Density (PSD) is the Fourier transform of the auto-covariance function we may define the Cross Spectral Density (CSD) as the Fourier transform of the cross-covariance  ...  This allows for classification using arbitrary decision boundaries. There is no closed form for the parameters w, but they can be estimated using an optimisation algorithm as described in [6] .  ... 
doi:10.1201/9781584888574.ch13 fatcat:iwrcnydvjnfkpitrdbg3fu2jem

Maximum Likelihood Estimation [chapter]

2009 Statistics: A Series of Textbooks and Monographs  
Figure 7 . 9 : 79 Different arrays of sensors used in the simulations.  ...  Cross Spectral Density Just as the Power Spectral Density (PSD) is the Fourier transform of the auto-covariance function we may define the Cross Spectral Density (CSD) as the Fourier transform of the cross-covariance  ...  This allows for classification using arbitrary decision boundaries. There is no closed form for the parameters w, but they can be estimated using an optimisation algorithm as described in [6] .  ... 
doi:10.1201/9781420064254.ch3 fatcat:bfsusm6pdjgjpendfxw4c7ab6y

Maximum Likelihood Estimation [chapter]

2003 Handbook of Statistical Analyses Using Stata, Fourth Edition  
Figure 7 . 9 : 79 Different arrays of sensors used in the simulations.  ...  Cross Spectral Density Just as the Power Spectral Density (PSD) is the Fourier transform of the auto-covariance function we may define the Cross Spectral Density (CSD) as the Fourier transform of the cross-covariance  ...  This allows for classification using arbitrary decision boundaries. There is no closed form for the parameters w, but they can be estimated using an optimisation algorithm as described in [6] .  ... 
doi:10.1201/noe1584884040.ch13 fatcat:odwdw3pq5jb5daey5kipyf275u

Maximum Likelihood Estimation [chapter]

1991 Order Statistics and Inference  
Figure 7 . 9 : 79 Different arrays of sensors used in the simulations.  ...  Cross Spectral Density Just as the Power Spectral Density (PSD) is the Fourier transform of the auto-covariance function we may define the Cross Spectral Density (CSD) as the Fourier transform of the cross-covariance  ...  This allows for classification using arbitrary decision boundaries. There is no closed form for the parameters w, but they can be estimated using an optimisation algorithm as described in [6] .  ... 
doi:10.1016/b978-0-12-076948-3.50013-4 fatcat:2w7lohk4tbba5j57jyj4lkb2ta

Theory and Observations: Normal Mode and Surface Wave Observations [chapter]

G. Laske, R. Widmer-Schnidrig
2015 Treatise on Geophysics  
We hope to convey to the reader some of the excitement a mode seismologist experiences still today when encountering the occasional beautiful set of time series that she or he may have to wait for for  ...  We describe some of the analysis tools and applications and give examples for cases that we have personally been involved in.  ...  Figure 28 . 28 (a) Beam power distribution of Rayleigh wave background between 5 and 8 mHz estimated from vertical component recordings of a nine station array in central Europe.  ... 
doi:10.1016/b978-0-444-53802-4.00003-8 fatcat:ndynpk2gmrfgheeeo4cj7izeku

Field Programmable Gate Array Applications—A Scientometric Review

Juan Ruiz-Rosero, Gustavo Ramirez-Gonzalez, Rahul Khanna
2019 Computation  
Field Programmable Gate Array (FPGA) is a general purpose programmable logic device that can be configured by a customer after manufacturing to perform from a simple logic gate operations to complex systems  ...  These publications show the vast range of applications based on FPGAs, from the new mechanism that enables the magnetic suspension system for the kilogram redefinition, to the Mars rovers' navigation systems  ...  FPGA-Based Neural network for simulation of photovoltaic array: application for estimating the output power generation.  ... 
doi:10.3390/computation7040063 fatcat:wxtatzsvvnfopghdfl25hcfc2a
« Previous Showing results 1 — 15 out of 32 results