David K. Hammond

16 papers B 3Misc 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2016 J jnl
Tridiagonal Matrices and Boundary Conditions.
SIAM J. Matrix Anal. Appl.
J. J. P. Veerman, David K. Hammond
2014 J jnl
GSPBOX: A toolbox for signal processing on graphs.
CoRR
Nathanaël Perraudin, Johan Paratte, David I. Shuman, Vassilis Kalofolias, Pierre Vandergheynst, David K. Hammond
2013 J jnl
Cortical Graph Smoothing: A Novel Method for Exploiting DWI-Derived Anatomical Brain Connectivity to Improve EEG Source Estimation.
IEEE Trans. Medical Imaging
David K. Hammond, Benoit Scherrer, Simon K. Warfield
2013 — conf
Graph diffusion distance: A difference measure for weighted graphs based on the graph Laplacian exponential kernel.
GlobalSIP
David K. Hammond, Yaniv Gur, Chris R. Johnson
2013 J jnl
Stabilizing Nonuniformly Quantized Compressed Sensing With Scalar Companders.
IEEE Trans. Inf. Theory
Laurent Jacques, David K. Hammond, Mohamed-Jalal Fadili
2012 Misc conf
Incorporating anatomical connectivity into EEG source estimation via sparse approximation with cortical graph wavelets.
ICASSP
David K. Hammond, Benoit Scherrer, Allen D. Malony
2012 J jnl
Stabilizing Nonuniformly Quantized Compressed Sensing with Scalar Companders
CoRR
Laurent Jacques, David K. Hammond, Mohamed-Jalal Fadili
2011 — conf
Computational Modeling of Human Head Electromagnetics for Source Localization of Milliscale Brain Dynamics.
MMVR
Allen D. Malony, Adnan Salman, Sergei Turovets, Don M. Tucker, Vasily Volkov, Kai Li, Jung Eun Song, Scott Biersdorff, Colin Davey, Chris Hoge, David K. Hammond
2011 J jnl
Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine.
IEEE Trans. Inf. Theory
Laurent Jacques, David K. Hammond, Mohamed-Jalal Fadili
2011 B conf
Weighted fidelity in non-uniformly quantized compressed sensing.
ICIP
Laurent Jacques, David K. Hammond, Mohamed-Jalal Fadili
2009 B conf
DeQuantizing Compressed Sensing with non-Gaussian constraints.
ICIP
Laurent Jacques, David K. Hammond, Mohamed-Jalal Fadili
2009 J jnl
Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine
CoRR
Laurent Jacques, David K. Hammond, Jalal Fadili
2009 J jnl
Wavelets on Graphs via Spectral Graph Theory
CoRR
David K. Hammond, Pierre Vandergheynst, Rémi Gribonval
2008 J jnl
Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures.
IEEE Trans. Image Process.
David K. Hammond, Eero P. Simoncelli
2007 — conf
A Machine Learning Framework for Adaptive Combination of Signal Denoising Methods.
ICIP (6)
David K. Hammond, Eero P. Simoncelli
2006 B conf
Image Denoising with an Orientation-Adaptive Gaussian Scale Mixture Model.
ICIP
David K. Hammond, Eero P. Simoncelli