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Development of advanced linearized gyrokinetic collision operators using a moment approach
Related publications (37)
Autonomous Learning of Internal Dynamic Models for Reaching Tasks
The paper addresses the problem of learning internal task-specific dynamic models for a reaching task. Using task-specific dynamic models is crucial for achieving both high tracking accuracy and compliant behaviour, which improves safety concerns while wor ...
Springer-Verlag Berlin2016Phase estimation from noisy phase fringe patterns using linearly independent basis functions
Pramod Rastogi, Rishikesh Dilip Kulkarni
A novel technique is proposed for obtaining unwrapped phase estimation from a highly noisy exponential phase field. In this technique, the interference phase is represented as a linear combination of linearly independent and pre-defined basis functions alo ...
Iop Publishing Ltd2015Cross-correlated relaxation measurements under adiabatic sweeps: determination of local order in proteins
Geoffrey Bodenhausen, Nicola Salvi, Pavel Kaderavek, Fabien Ferrage
Adiabatically swept pulses were originally designed for the purpose of broadband spin inversion. Later, unexpected advantages of their utilization were also found in other applications, such as refocusing to excite spin echoes, studies of chemical exchange ...
Springer Verlag2015Guaranteeing Input Tracking For Constrained Systems: Theory and Application to Demand Response
Colin Neil Jones, Tomasz Tadeusz Gorecki, Georgios Stathopoulos, Altug Bitlislioglu
A method for certifying exact input trackability for constrained discrete time linear systems is introduced in this paper. A signal is assumed to be drawn from a reference set and the system must track this signal with a linear combination of its inputs. U ...
2015Random Access With Physical-Layer Network Coding
Michael Christoph Gastpar, Jasper Goseling
We consider a physical-layer network coding strategy for the random-access channel, based on compute-and-forward. When packets collide, it is possible to reliably recover a linear combination of the packets at the receiver. Over many rounds of transmission ...
Institute of Electrical and Electronics Engineers2015Rotation-Covariant Texture Learning Using Steerable Riesz Wavelets
Dimitri Nestor Alice Van De Ville, Adrien Raphaël Depeursinge
We propose a texture learning approach that exploits local organizations of scales and directions. First, linear combinations of Riesz wavelets are learned using kernel support vector machines. The resulting texture signatures are modeling optimal class-wi ...
Institute of Electrical and Electronics Engineers2014Digital holographic moiré for the direct and simultaneous estimation of strain and slope fields
Pramod Rastogi, Rishikesh Dilip Kulkarni
A novel method is proposed for the direct and simultaneous estimation of multiple phase derivatives corresponding to strain and slope fields from a single moiré fringe pattern in digital holographic moiré. The interference field in a given row/column is a ...
Optical Society of America2014Direct phase derivative estimation using difference equation modeling in holographic interferometry
Pramod Rastogi, Rishikesh Dilip Kulkarni
A new method is proposed for the direct phase derivative estimation from a single spatial frequency modulated carrier fringe pattern in holographic interferometry. The fringe intensity in a given row/column is modeled as a difference equation of intensity ...
Iop Publishing Ltd2014A convex optimization framework for global tractography
Jean-Philippe Thiran, Alessandro Daducci, Alia Lemkaddem
In this article we present a novel approach for diffusion MRI global tractography. Our formulation models the signal in each voxel as a linear combination of fiber-tract basis func- tions, which consist of a comprehensive set of plausible fiber tracts that ...
2013Random Access with Physical-layer Network Coding
Michael Christoph Gastpar, Jasper Goseling
Browse Conference Publications > Information Theory and Applic ... Back to Results | Next » Help Random access with physical-layer network coding This paper appears in: Information Theory and Applications Workshop (ITA), 2013 Date of Conference: 10-15 Feb. ...
2013