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Journal Articles
- 2016
[j5]J. J. P. Veerman, David K. Hammond:
Tridiagonal Matrices and Boundary Conditions. SIAM J. Matrix Anal. Appl. 37(1): 1-17 (2016)- 2013
- [j4]Laurent Jacques
, David K. Hammond, Mohamed-Jalal Fadili:
Stabilizing Nonuniformly Quantized Compressed Sensing With Scalar Companders. IEEE Trans. Inf. Theory 59(12): 7969-7984 (2013) - [j3]David K. Hammond, Benoit Scherrer, Simon K. Warfield:
Cortical Graph Smoothing: A Novel Method for Exploiting DWI-Derived Anatomical Brain Connectivity to Improve EEG Source Estimation. IEEE Trans. Medical Imaging 32(10): 1952-1963 (2013) - 2011
- [j2]Laurent Jacques, David K. Hammond, Mohamed-Jalal Fadili:
Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine. IEEE Trans. Inf. Theory 57(1): 559-571 (2011) - 2008
- [j1]David K. Hammond, Eero P. Simoncelli:
Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures. IEEE Trans. Image Process. 17(11): 2089-2101 (2008)
Conference and Workshop Papers
- 2013
- [c7]David K. Hammond, Yaniv Gur, Chris R. Johnson:
Graph diffusion distance: A difference measure for weighted graphs based on the graph Laplacian exponential kernel. GlobalSIP 2013: 419-422 - 2012
- [c6]David K. Hammond, Benoit Scherrer, Allen D. Malony:
Incorporating anatomical connectivity into EEG source estimation via sparse approximation with cortical graph wavelets. ICASSP 2012: 573-576 - 2011
- [c5]Laurent Jacques, David K. Hammond, Mohamed-Jalal Fadili:
Weighted fidelity in non-uniformly quantized compressed sensing. ICIP 2011: 1921-1924 - [c4]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:
Computational Modeling of Human Head Electromagnetics for Source Localization of Milliscale Brain Dynamics. MMVR 2011: 329-335 - 2009
- [c3]Laurent Jacques, David K. Hammond, Mohamed-Jalal Fadili:
DeQuantizing Compressed Sensing with non-Gaussian constraints. ICIP 2009: 1465-1468 - 2007
- [c2]David K. Hammond, Eero P. Simoncelli:
A Machine Learning Framework for Adaptive Combination of Signal Denoising Methods. ICIP (6) 2007: 29-32 - 2006
- [c1]David K. Hammond, Eero P. Simoncelli:
Image Denoising with an Orientation-Adaptive Gaussian Scale Mixture Model. ICIP 2006: 1433-1436
Informal and Other Publications
- 2014
- [i4]Nathanaël Perraudin, Johan Paratte, David I. Shuman, Vassilis Kalofolias, Pierre Vandergheynst, David K. Hammond:
GSPBOX: A toolbox for signal processing on graphs. CoRR abs/1408.5781 (2014) - 2012
- [i3]Laurent Jacques, David K. Hammond, Mohamed-Jalal Fadili:
Stabilizing Nonuniformly Quantized Compressed Sensing with Scalar Companders. CoRR abs/1206.6003 (2012) - 2009
- [i2]Laurent Jacques, David K. Hammond, Jalal Fadili:
Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine. CoRR abs/0902.2367 (2009) - [i1]David K. Hammond, Pierre Vandergheynst, Rémi Gribonval:
Wavelets on Graphs via Spectral Graph Theory. CoRR abs/0912.3848 (2009)
Coauthor Index
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