Digital Signal Processing Reference
In-Depth Information
Durand, S., Fadili, M. J., and Nikolova, M.: 2010, Multiplicative noise removal using L1
fidelity on frame coefficients, Journal of Mathematical Imaging and Vision 36(3), 201-226.
Dutilleux, P.: 1987, An implementation of the “algorithme a trous” to compute the wavelet
transform, in J. Combes, A. Grossmann, and P. Tchamitchian (eds.), Wavelets: Time-
Frequency Methods and Phase-Space , 298-304, Springer, New York.
Eckstein, J.: 1989, Splitting methods for monotone operators with application to parallel op-
timization, Ph.D. thesis, Massachusetts Institute of Technology, Cambridge.
Eckstein, J., and Svaiter, B. F.: 2008, A family of projective splitting methods for the sum of
two maximal monotone operators, Mathematical Programming, Series B 111, 173-199.
Eckstein, J., and Svaiter, B. F.: 2009, General projective splitting methods for sums of
maximal monotone operators, SIAM Journal on Control and Optimization 48(2), 787-
811.
Efron, B., Hastie, T., Johnstone, I., and Tibshirani, R.: 2004, Least angle regression, Annals
of Statistics 32(2), 407-499.
Efros, A. A., and Leung, T. K.: 1999, Texture synthesis by non-parametric sampling, in IEEE
International Conference on Computer Vision , vol. 2, 1033-1038, IEEE Computer Society,
Kerkyra, Greece.
Elad, M.: 2006, Why simple shrinkage is still relevant for redundant representations, IEEE
Transactions on Information Theory 52(12), 5559-5569.
Elad, M., and Yavneh, I.: 2009, A plurality of sparse representations is better than the sparsest
one alone, IEEE Transactions on Information Theory 55(10), 4701-4714.
Elad, M., Starck, J.-L., Donoho, D., and Querre, P.: 2005, Simultaneous cartoon and texture
image inpainting using morphological component analysis (MCA), Applied and Computa-
tional Harmonic Analysis 19, 340-358.
Elad, M., Milanfar, P., and Rubinstein, R.: 2007, Analysis versus synthesis in signal priors,
Inverse Problems 23(3), 947-968.
Eldar, Y. C., and Mishali, M.: 2009, Robust recovery of signals from a structured union of
subspaces, IEEE Transactions on Information Theory , in press.
Fadili, M. J., and Boubchir, L.: 2005, Analytical form for a Bayesian wavelet estimator of
images using the Bessel k form densities, IEEE Transactions on Image Processing 14(2),
231-240.
Fadili, M. J., and Bullmore, E.: 2005, Penalized partially linear models using sparse represen-
tations with an application to fMRI time series, IEEE Transactions on Signal Processing
53(9), 3436-3448.
Fadili, M. J., and Starck, J.-L.: 2005, EM algorithm for sparse representation-based image
inpainting, in IEEE ICIP'05 , vol. 2, 61-63, IEEE Computer Society, Genoa, Italy.
Fadili, M. J., and Starck, J.-L.: 2006, Sparse representation-based image deconvolution by
iterative thresholding, in F. Murtagh and J.-L. Starck (eds.), Proceedings of Astronomical
Data Analysis IV , [online only, http://www.oamp.fr/conf/ada4], Marseille, France.
Fadili, M. J., and Starck, J.-L.: 2009, Monotone operator splitting for fast sparse solutions of
inverse problems, SIAM Journal on Imaging Sciences , submitted.
Fadili, M. J., Starck, J.-L., and Boubchir, L.: 2007, Morphological diversity and sparse im-
age denoising, in IEEE ICASSP'07 , vol. 1, 589-592, IEEE Computer Society, Honolulu,
Hawaii.
Fadili, M. J., Bobin, J., Moudden, Y., and Starck, J.-L.: 2009, Erratum to “Morphological
diversity and sparsity for multichannel data restoration,” Journal of Mathematical Imaging
and Vision 33, 149-168.
Fadili, M. J., Starck, J.-L., Elad, M., and Donoho, D.: 2010, MCALab: Reproducible research
in signal and image decomposition and inpainting, IEEE Computing in Science and Engi-
neering 12(1), 44-63.
Fadili, M. J., Starck, J.-L., and Murtagh, F.: 2009c, Inpainting and zooming using sparse rep-
resentations, The Computer Journal 52, 64-79.
Search WWH ::




Custom Search