Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Filters








35 Hits in 3.8 sec

2010 Index IEEE Transactions on Signal Processing Vol. 58

2010 IEEE Transactions on Signal Processing  
., +, TSP July 2010 3717-3727 Directed graphs Fast Distributed Average Consensus Algorithms Based on Advection-Diffu- sion Processes.  ...  Power Measurements Based Direction Finding.  ...  Global Positioning System A Fixed-Lag Particle Filter for the Joint Detection/Compensation of Interference Effects in GPS Navigation.  ... 
doi:10.1109/tsp.2010.2092533 fatcat:4y66ezuo7zf6doe6nwjqwtc42i

Characterization of the relative contributions from systemic physiological noise to whole-brain resting-state functional near-infrared spectroscopy data using single-channel independent component analysis

Ardalan Aarabi, Theodore J. Huppert
2016 Neurophotonics  
In this study, we present a decomposition approach based on single-channel independent component analysis (scICA) to investigate the contribution of physiological noise to fNIRS signals during rest.  ...  Single-channel ICA is an underdetermined decomposition method, which separates a single time series into components containing nonredundant spectral information.  ...  Acknowledgments This work was supported by the National Institutes of Health (TJH-NIH-RO1EB013210).  ... 
doi:10.1117/1.nph.3.2.025004 pmid:27335886 pmcid:PMC4893204 fatcat:alzc6kr6s5c5hbzj64m557fdxu

Deriving the Manifestly Qualitative World from a Pure-Power Base: Light-like Networks

Sharon R. Ford
2011 Philosophia Scientiæ  
An object can be considered to be 'extended in time' if, at any one spatial location, it occupies more than one temporal location or moment.  ...  The resulting networks are gauge boson absorbers and emitters.  ... 
doi:10.4000/philosophiascientiae.690 fatcat:dgroshsy3zasnmow56khnp6hbq

Roadmap on Deep Learning for Microscopy [article]

Giovanni Volpe, Carolina Wählby, Lei Tian, Michael Hecht, Artur Yakimovich, Kristina Monakhova, Laura Waller, Ivo F. Sbalzarini, Christopher A. Metzler, Mingyang Xie, Kevin Zhang, Isaac C.D. Lenton (+63 others)
2023 arXiv   pre-print
Artificial intelligence, deep neural networks, and machine learning are all niche terms describing computational methods that have gained a pivotal role in microscopy-based research over the past decade  ...  We aim to give the reader an overview of the key developments and an understanding of possibilities and limitations of machine learning for microscopy.  ...  Acknowledgements Thanks to all of my past and present Photoacoustic and Ultrasonic Systems Engineering (PULSE) Lab researchers and clinical collaborators who contributed to this direction of research  ... 
arXiv:2303.03793v1 fatcat:jamv27viozbgtoodfirgxekeju

Design of large polyphase filters in the Quadratic Residue Number System

Gian Carlo Cardarilli, Alberto Nannarelli, Yann Oster, Massimo Petricca, Marco Re
2010 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers  
With this motivation, we present an alternative approach to speech recognition based on point process statistical models of the local maxima events produced by a cortically-inspired spectro-temporal filter  ...  based on local data and on the data exchanged with the neighbors.  ... 
doi:10.1109/acssc.2010.5757589 fatcat:ccxnu5owr5fyrcjcqukumerueq

2021 Index IEEE Transactions on Industrial Informatics Vol. 17

2021 IEEE Transactions on Industrial Informatics  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Chung, H., +, TII May 2021 3032-3043 Simultaneous Localization of Multiple Unknown Emitters Based on UAV Monitoring Big Data.  ...  Xing, D., +, TII March 2021 1842-1851 Simultaneous Localization of Multiple Unknown Emitters Based on UAV Monitoring Big Data.  ... 
doi:10.1109/tii.2021.3138206 fatcat:ulsazxgmpfdmlivigjqgyl7zre

A Compact Formulation for the ℓ_2,1 Mixed-Norm Minimization Problem [article]

Christian Steffens, Marius Pesavento, Marc E. Pfetsch
2016 arXiv   pre-print
Additionally, for the case of irregular sampling or a large number of samples, we present a low complexity, grid-based implementation based on the coordinate descent method.  ...  Parameter estimation from multiple measurement vectors (MMVs) is a fundamental problem in many signal processing applications, e.g., spectral analysis and direction-of- arrival estimation.  ...  Gershman, “The stochastic CRB perspective for source localization with sensor arrays,” IEEE Transac- for array processing: a textbook derivation,” Signal Processing Letters, tions on  ... 
arXiv:1606.07231v1 fatcat:g23ee6avlzggpger27d6svqbcm

Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review

Gianpaolo Balsamo, Anna Agustì-Parareda, Clément Albergel, Gabriele Arduini, Anton Beljaars, Jean Bidlot, Nicolas Bousserez, Souhail Boussetta, Andy Brown, Roberto Buizza, Carlo Buontempo, Frédéric Chevallier (+33 others)
2018 Remote Sensing  
In this paper, we review the use of satellite-based remote sensing in combination with in situ data to inform Earth surface modelling.  ...  in situ observations, which are often sparse and only locally representative.  ...  Adrian Simmons and Alan Betts are thanked for their precious advice and review of early versions of this manuscript.  ... 
doi:10.3390/rs10122038 fatcat:qovifbs5crgbhhpwolysj4tuya

Chapter 7: Tomography Diagnostics: Bolometry and Soft-X-Ray Detection

L. C. Ingesson, B. Alper, B. J. Peterson, J.-C. Vallet
2008 Fusion science and technology  
Al-though the emphasis is on two-dimensional tomography of poloidal cross sections, the applications of Abel inversion, three-dimensional tomography, vector tomography, and other specific methods are briefly  ...  Common detector types used (including bolometers), details of their application, and interpretation of their measurements are described.  ...  show a variation in time of the SXR emissivity measured by the Wendelstein 7-AS stellarator ten-camera system. 225 A spatio-temporal filtering technique based on SVD~lower row!  ... 
doi:10.13182/fst53-528 fatcat:yymi6bcvqbgbnogq54tinxi3li

Sparse Symmetric Linear Arrays with Low Redundancy and a Contiguous Sum Co-Array

Robin Rajamaki, Visa Koivunen
2021 IEEE Transactions on Signal Processing  
Thanks to my grandparents, to whom I am indebted for the privilege of pursuing higher education wholeheartedly and carefreely.  ...  Similarly, the noise is assumed Gaussian, uncorrelated with the signals, and spatio-temporally white.  ...  In (5.1), S is the N s × T Tx waveform matrix and n ∼ C N (0, σ 2 I) a N r T-dimensional vector of i.i.d. spatio-temporally white circular complex Gaussian noise.  ... 
doi:10.1109/tsp.2021.3057982 fatcat:tynhsuefnve4fmnnmyhm5rc2da

Greenhouse gas observation network design for Africa

Alecia Nickless, Robert J. Scholes, Alex Vermeulen, Johannes Beck, Ana López-Ballesteros, Jonas Ardö, Ute Karstens, Matthew Rigby, Ville Kasurinen, Karolina Pantazatou, Veronika Jorch, Werner Kutsch
2020 Tellus: Series B, Chemical and Physical Meteorology  
The network was optimised to reduce the uncertainty in emissions across three of the most important GHGs: CO 2 , CH 4 , and N 2 O.  ...  The gains in uncertainty reduction diminished as stations were added to the solution, with an expected maximum of less than 60%.  ...  Acknowledgements The authors would like to thank Alistair Manning for useful tea-time discussions on biomass burning emissions.  ... 
doi:10.1080/16000889.2020.1824486 fatcat:nj44nm4r5fafpotm3ltcg43gam

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
Article numbers are based on specified topic areas and corresponding codes associated with the publication.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, and article number.  ...  ., +, TIM 2021 5016408 Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

Speculative Physics: the Ontology of Theory and Experiment in High Energy Particle Physics and Science Fiction [article]

Clarissa Ai Ling Lee
2014 arXiv   pre-print
There are two levels of conversations going on in the dissertation; at the first level, the discussion is centered on a critical historiography and philosophical implications of the discovery Higgs boson  ...  The works of science fiction examined here demonstrate the tension between the internal values of physics in the practice of theory and experiment and questions on ethics, culture, and morality.  ...  In the process, areas of knowledge that cannot be as easily localized takes on a speculative flavor.  ... 
arXiv:1406.5636v1 fatcat:xdy4cigbizcrna3hpkk2r2r6xq

Optimal presentation of imagery with focus cues on multi-plane displays

Rahul Narain, Rachel A. Albert, Abdullah Bulbul, Gregory J. Ward, Martin S. Banks, James F. O'Brien
2015 ACM Transactions on Graphics  
Far focus (plane 1) Near focus (plane 4) Input images Photos of display 1 2 3 4 Images on presentation planes z 1 z 2 z 3 z 4 Figure 1 : Reproducing a real-world scene on a multi-plane display.  ...  Given a focus stack consisting of images of a scene focused at different distances, we use optimization to determine images to show on the presentation planes of the multi-plane display so that the image  ...  Acknowledgements We thank Doug Lanman, Kurt Akeley, and the members of the Berkeley Visual Computing Group and the Banks Lab for their help, and the anonymous reviewers for their insightful comments.  ... 
doi:10.1145/2766909 fatcat:q7j3suqzlbgdlc7vcli7cmfe5a

2022 Review of Data-Driven Plasma Science [article]

Rushil Anirudh, Rick Archibald, M. Salman Asif, Markus M. Becker, Sadruddin Benkadda, Peer-Timo Bremer, Rick H.S. Budé, C.S. Chang, Lei Chen, R. M. Churchill, Jonathan Citrin, Jim A Gaffney (+51 others)
2022 arXiv   pre-print
Fueled by some of the most challenging problems such as fusion energy, plasma processing of materials, and fundamental understanding of the universe through observable plasma phenomena, it is expected  ...  Despite the recent impressive progress in applications of data science to plasma science and technology, the emerging field of DDPS is still in its infancy.  ...  Direct simulation of physical processes on a kinetic level is still prohibitively expensive.  ... 
arXiv:2205.15832v1 fatcat:fxsl6gl3fncnhpoj76defxoc3a
« Previous Showing results 1 — 15 out of 35 results