Digital Signal Processing Reference
In-Depth Information
Belouchrani, A., Meraim, K. A., Cardoso, J.-F., and Moulines, E.: 1997, A blind source sepa-
ration technique based on second order statistics, IEEE Transactions on Signal Processing
45(2), 434-444.
Benjamini, Y., and Hochberg, Y.: 1995, Controlling the false discovery rate - a practical and
powerful approach to multiple testing, Journal of the Royal Statistical Society B 57, 289-
300.
Benjamini, Y., and Yekutieli, Y.: 2001, The control of the false discovery rate in multiple
testing under dependency, Annals of Statistics 29(4), 1165-1188.
Bentley, P., and McDonnell, J.: 1994, Wavelet transforms: An introduction, Electronics and
Communication Engineering Journal 6, 175-186.
Bertalmıo, M., Sapiro, G., Caselles, V., and Ballester, C.: 2000, Image inpainting,
in
SIGGRAPH 2000 , vol. 34, 417-424, ACM, New York, New Orleans, LA.
Bertalmıo, M., Vese, L., Sapiro, G., and Osher, S.: 2003, Simultaneous structure and texture
image inpainting, IEEE Transactions on Image Processing 12(8), 882-889.
Bertalmıo, M., Caselles, V., Haro, G., and Sapiro, G.: 2005, The state of the art of image
and surface inpainting, in O. F. N. Paragios and Y. Chen (edd.), Mathematical Models in
Computer Vision: The Handbook , 309-322, Springer, New York.
Bickel, P. J., Ritov, Y., and Tsybakov, A.: 2009, Simultaneous analysis of lasso and Dantzig
selector, Annals of Statistics 37, 1705-1732.
Bijaoui, A., and Giudicelli, M.: 1991, Optimal image addition using the wavelet transform,
Experimental Astronomy 1, 347-363.
Bijaoui, A., and Jammal, G.: 2001, On the distribution of the wavelet coefficient for a Poisson
noise, Signal Processing 81, 1789-1800.
Bioucas-Dias, J.: 2006, Bayesian wavelet-based image deconvolution: A GEM algorithm ex-
ploiting a class of heavy-tailed priors, IEEE Transactions on Image Processing 15(4), 937-
951.
Bioucas-Dias, J. M., and Figueiredo, M.: 2007, A new TwIST: Two-step iterative shrinkage/
thresholding algorithms for image restoration, IEEE Transactions on Image Processing
16(12), 2992-3004.
Blanc-Feraud, L., and Barlaud, M.: 1996, Edge preserving restoration of astrophysical images,
Vistas in Astronomy 40, 531-538.
Blanchard, J., Cartis, C., and Tanner, J.: 2009, The restricted isometry property and
q -
regularization: Phase transitions for sparse approximation, Preprint .
Blumensath, T., and Davies, M. E.: 2008, Iterative thresholding for sparse approximations,
Journal of Fourier Analysis and Applications 14(5), 629-654.
Blumensath, T., and Davies, M. E.: 2009, Iterative hard thresholding for compressed sensing,
Applied and Computational Harmonic Analysis 27(3), 265-274.
Bobin, J., Moudden, Y., Starck, J.-L., and Elad, M.: 2006, Morphological diversity and source
separation, IEEE Transactions on Signal Processing 13(7), 409-412.
Bobin, J., Starck, J.-L., Fadili, M. J., and Moudden, Y.: 2007a, Sparsity and morphological
diversity in blind source separation, IEEE Transactions on Image Processing 16(11), 2662-
2674.
Bobin, J., Starck, J.-L., Fadili, M. J., Moudden, Y., and Donoho, D.: 2007b, Morphological
component analysis: An adaptive thresholding strategy, IEEE Transactions on Image Pro-
cessing 16(11), 2675-2681.
Bobin, J., Moudden, Y., Starck, J. L., Fadili, M., and Aghanim, N.: 2008a, SZ and CMB re-
construction using generalized morphological component analysis, Statistical Methodology
5(4), 307-317.
Bobin, J., Starck, J.-L., Moudden, Y., and Fadili, M. J.: 2008b, Blind source separation: The
sparsity revolution, Advances in Imaging and Electron Physics 152, 221-306.
Bobin, J., Starck, J.-L., and Ottensamer, R.: 2008c, Compressed sensing in astronomy, IEEE
Journal of Selected Topics in Signal Processing 2, 718-726.
Search WWH ::




Custom Search