References - Sparse Image and Signal Processing - page 298

Fan, J.: 1997, Comments on “Wavelets in statistics: A review,” by A. Antoniadis, Journal of
the Italian Statistical Society 6, 131-138.
Fa y, G., and Guilloux, F.: 2008, Consistency of a needlet spectral estimator on the sphere,
ArXiv 0807.2162.
Fa y, G., Guilloux, F., Betoule, M., Cardoso, J.-F., Delabrouille, J., and Le Jeune, M.: 2008,
CMB power spectrum estimation using wavelets, Physical Review D 78(8), 083013.
Feauveau, J.: 1990, Analyse multir esolution par ondelettes non-orthogonales et bancs de
filtres numeriques, Ph.D. thesis, Universit e Paris Sud.
Fernandes, F., van Spaendonck, R., and Burrus, S.: 2003, A new framework for complex
wavelet transforms, IEEE Transactions on Signal Processing 51(7), 1825-1837.
Fernandes, F., Wakin, M., and Baraniuk, R.: 2004, Non-redundant, linear-phase, semi-
orthogonal, directional complex wavelets, in Proceedings of IEEE Conference on Acous-
tics, Speech and Signal Processing , 953-956, IEEE, Piscataway.
Feuer, A., and Nemirovsky, A.: 2003, On sparse representation in pairs of bases, IEEE Trans-
actions on Information Theory 49(6), 1579-1581.
Field, D.: 1999, Wavelets, vision and the statistics of natural scenes, Philosophical Transac-
tions of the Royal Society of London, Series A 357, 2527-2542.
Figueiredo, M., and Nowak, R.: 2003, An EM algorithm for wavelet-based image restoration,
IEEE Transactions on Image Processing 12(8), 906-916.
Figueiredo, M., Bioucas-Dias, J. L., and Nowak, R.: 2007a, Majorization-minimization al-
gorithms for wavelet-based image restoration, IEEE Transactions on Image Processing
16(12), 2980-2881.
Figueiredo, M., Nowak, R., and Wright, S.: 2007b, Gradient projection for sparse recon-
struction: Application to compressed sensing and other inverse problems, IEEE Journal of
Selected Topics in Signal Processing 1(4), 586-597.
Fornasier, M.: 2007, Domain decomposition methods for linear inverse problems with spar-
sity constraints, Inverse Problems 23, 2505-2526.
Fornasier, M., and Rauhut, H.: 2008, Recovery algorithms for vector-valued data with joint
sparsity constraints, SIAM Journal on Numerical Analysis 46(2), 577-613.
Foucart, S., and Lai, M.-J.: 2009, Sparsest solutions of underdetermined linear systems via
q -minimization for 0

< q ≤ 1, Applied and Computational Harmonic Analysis 26(3), 395-

407.
Freeden, W., and Schneider, F.: 1998, Regularization wavelets and multiresolution, Inverse
Problems 14, 225-243.
Freeden, W., and Windheuser, U.: 1997, Combined spherical harmonics and wavelet expan-
sion - a future concept in Earth's gravitational potential determination, Applied and Com-
putational Harmonic Analysis 4, 1-37.
Fryzlewicz, P., and Nason, G. P.: 2004, A Haar-Fisz algorithm for Poisson intensity estima-
tion, Journal of Computational and Graphical Statistics 13, 621-638.
Fuchs, J.-J.: 2004, On sparse representations in arbitrary redundant bases, IEEE Transactions
on Information Theory 50(6), 1341-1344.
Gabay, D.: 1983, Applications of the method of multipliers to variational inequalities, in
M. Fortin and R. Glowinski (eds.), Augmented Lagrangian Methods: Applications to the
Solution of Boundary-Value Problems , 299-331, North-Holland, Amsterdam.
Gabor, D.: 1946, Theory of communications, Journal of the IEE (London) 93(III), 429-457.
Gao, H.-Y.: 1998, Wavelet shrinkage denoising using the non-negative garrote, Journal of
Computational and Graphical Statistics 7, 469-488.
Gao, H.-Y., and Bruce, A.: 1997, Waveshrink with firm shrinkage, Statistica Sinica 7, 855-874.
Geman, D., and Reynolds, G.: 1992, Constrained restoration and the recovery of discontinu-
ities, IEEE Transactions on Pattern Analysis and Machine Intelligence 14, 367-383.
Geman, D., Reynolds, G., and Yang, C.: 1993, Stochastic algorithms for restricted image
spaces and experiments in deblurring, in A. J. R. Chellappa (ed.), Markov Random Fields
Theory and Applications , 39-68, Academic, San Diego, CA.