Results 21 to 30 of about 163,323 (140)

Joint space aspect reconstruction of wide-angle SAR exploiting sparsity [PDF]

, 2008
In this paper we present an algorithm for wide-angle synthetic aperture radar (SAR) image formation. Reconstruction of wide-angle SAR holds a promise of higher resolution and better information about a scene, but it also poses a number of challenges when
Cetin, Mujdat, Karl, W. Clem, Stojanovic, Ivana, Çetin, Müjdat   +3 more
core   +1 more source

Asymptotic analysis of forward performance processes in incomplete markets and their ill-posed HJB equations [PDF]

, 2015
We consider the problem of optimal portfolio selection under forward investment performance criteria in an incomplete market. The dynamics of the prices of the traded assets depend on a pair of stochastic factors, namely, a slow factor (e.g.
Shkolnikov, Mykhaylo, Sircar, Ronnie, Zariphopoulou, Thaleia   +2 more
core   +1 more source

A Sparse Bayesian Estimation Framework for Conditioning Prior Geologic Models to Nonlinear Flow Measurements

, 2009
We present a Bayesian framework for reconstruction of subsurface hydraulic properties from nonlinear dynamic flow data by imposing sparsity on the distribution of the solution coefficients in a compression transform ...
Aziz, Bear, Behnam Jafarpour, Britanak, Candès, Candès, Candès, Carrera, Carrera, Carrera, Carrera, Chavent, Chen, Constable, de Marsily, Deli, Donoho, Eude, Evensen, Gavalas, Hendricks Franssen, Jafarpour, Jafarpour, Jafarpour, Kitanidis, Lavenue, Lianlin Li, Mallat, Mallat, McLaughlin, Naevdal, Natarajan, Oliver, Parker, Reiniger, Reynolds, Sahuquillo, Shihao, Tarantola, Tibshirani, Tikhonov, Tipping, Ulrych, Woodbury, Yeh   +44 more
core   +1 more source

Full Waveform Inversion for Time-Distance Helioseismology

, 2014
Inferring interior properties of the Sun from photospheric measurements of the seismic wavefield constitutes the helioseismic inverse problem. Deviations in seismic measurements (such as wave travel times) from their fiducial values estimated for a given
Hanasoge, Shravan, Tromp, Jeroen
core   +1 more source

Beyond convergence rates: Exact recovery with Tikhonov regularization with sparsity constraints [PDF]

, 2011
The Tikhonov regularization of linear ill-posed problems with an $\ell^1$ penalty is considered. We recall results for linear convergence rates and results on exact recovery of the support.
Candés E J, D A Lorenz, D Trede, Dahlke S Fornasier M Raasch T, Denis L, Dieudonné J, Dossal C Mallat S, Engl H W, Grasmair M, Griesse R, Jin B, Narici L, Ramlau R Zarzer C A, S Schiffler, Trede D   +14 more
core   +1 more source

Optimisation of a maximum entropy criterion for 2D nuclear magnetic resonance reconstruction [PDF]

, 2010
International audienceThis paper deals with the reconstruction of T1-T2 correlation spectra in NuclearMagnetic Resonance (NMR) spectroscopy.
Chouzenou, E., Idier, J., Mariette, F., Moussaoui, S.   +3 more
core   +1 more source

Towards a unification of HRT and SCOZA

, 2005
The Hierarchical Reference Theory (HRT) and the Self-Consistent Ornstein-Zernike Approximation (SCOZA) are two liquid state theories that both furnish a largely satisfactory description of the critical region as well as phase separation and the equation ...
A. Reiner, A. Reiner, A. Reiner, J. S. Høye, J. S. Høye, L. S. Ornstein   +5 more
core   +1 more source

Kernel methods for detecting coherent structures in dynamical data

, 2019
We illustrate relationships between classical kernel-based dimensionality reduction techniques and eigendecompositions of empirical estimates of reproducing kernel Hilbert space (RKHS) operators associated with dynamical systems.
Husic, Brooke E., Klus, Stefan, Mollenhauer, Mattes, Noé, Frank   +3 more
core   +1 more source

Fast Implementation of Transmit Beamforming for Colocated MIMO Radar [PDF]

, 2015
Multiple-input Multiple-output (MIMO) radars benefit from spatial and waveform diversities to improve the performance potential. Phased array radars transmit scaled versions of a single waveform thereby limiting the transmit degrees of freedom to one ...
Raja Rajeswari, K., Sharma, G. V. K.
core   +2 more sources

Solving ill-posed inverse problems using iterative deep neural networks [PDF]

arXiv.org, 2017
We propose a partially learned approach for the solution of ill-posed inverse problems with not necessarily linear forward operators. The method builds on ideas from classical regularisation theory and recent advances in deep learning to perform learning
J. Adler, O. Öktem
semanticscholar   +1 more source