Digital Signal Processing Reference
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Masnou, S., and Morel, J.: 2002, Disocclusion: A variational approach using level lines, IEEE
Transactions on Image Processing 11(2), 68-76.
Matheron, G.: 1967, Elements pour une Theorie des Milieux Poreux , Masson, Paris.
Matheron, G.: 1975, Random Sets and Integral Geometry , John Wiley, New York.
Matus, F., and Flusser, J.: 1993, Image representations via a finite radon transform, IEEE
Transactions on Pattern Analysis and Machine Intelligence 15(10), 996-1006.
McEwen, J. D., Hobson, M. P., Mortlock, D. J., and Lasenby, A. N.: 2007, Fast directional
continuous spherical wavelet transform algorithms, IEEE Transactions on Signal Process-
ing 55, 520-529.
McEwen, J. D., Vielva, P., Wiaux, Y., Barreiro, R. B., Cayon, L., Hobson, M. P., Lasenby,
A. N., Martinez-Gonzalez, E., and Sanz, J. L.: 2007, Cosmological applications of a wavelet
analysis on the sphere, Journal of Fourier Analysis and Applications 13, 495-510.
Meier, L., van de Geer, S., and B uhlmann, P.: 2008, The group lasso for logistic regression,
Journal of the Royal Statistical Society, Series B 70(1), 53-71.
Meinshausen, N., and B uhlmann, P.: 2006, High-dimensional graphs and variable selection
with the lasso, Annals of Statistics 34(3), 1436-1462.
Meneveau, C.: 1991, Analysis of turbulence in the orthonormal wavelet representation, Jour-
nal of Fluid Mechanics 232, 469-520.
Meyer, Y.: 1993, Wavelets: Algorithms and Applications , SIAM, Philadelphia.
Meyer, Y.: 2002, Oscillating Patterns in Image Processing and Nonlinear Evolution Equations ,
University Lecture Series 22, American Mathematical Society, Providence, RI.
Meyer, F., Averbuch, A., and Coifman, R.: 2002, Multilayered image representation: Ap-
plication to image compression, IEEE Transactions on Image Processing 11, 1072-
1080.
Miettinen, K.: 1999, Nonlinear Multiobjective Optimization , Kluwer, Boston.
Moreau, J.-J.: 1962, Fonctions convexes duales et points proximaux dans un espace hilbertien,
Comptes Rendus de l'Academie des Sciences Serie A Mathematiques 255, 2897-2899.
Moreau, J.-J.: 1963, Propri et es des applications “prox,” Comptes Rendus de l'Academie des
Sciences Serie A Mathematiques 256, 1069-1071.
Moreau, J.-J.: 1965, Proximit e et dualit e dans un espace hilbertien, Bulletin de la Societe
Mathematique de France 93, 273-299.
Moudden, Y., Cardoso, J.-F., Starck, J.-L., and Delabrouille, J.: 2005, Blind component sepa-
ration in wavelet space: Application to CMB analysis, EURASIP Journal on Applied Signal
Processing 15, 2437-2454.
Moudden, Y., Bobin, J., Starck, J.-L., and Fadili, M. J.: 2009, Blind source separation with
spatio-spectral sparsity constraints - application to hyperspectral data analysis, in Inde-
pendent Component Analysis and Signal Separation , vol. 5441, Lecture Notes in Computer
Science , 523-531, Springer, New York.
Murenzi, R.: 1988, Wavelet transforms associated with the n -dimensional Euclidean group
with dilations: Signal in more than one dimension, in A. G. J. M. Combes and P.
Tchamitchian (eds.), Wavelets: Time-Frequency Methods and Phase Space , 239-246,
Springer, New York.
Murtagh, F.: 2005, Correspondence Analysis and Data Coding with R and Java , Chapman and
Hall/CRC Press, Boca Raton, FL.
Murtagh, F., and Starck, J.: 2008, Wavelet and curvelet moments for image classification:
Application to aggregate mixture grading, Pattern Recognition Letters 29, 1557-1564.
Murtagh, F., Starck, J.-L., and Bijaoui, A.: 1995, Image restoration with noise suppression
using a multiresolution support, Astronomy and Astrophysics, Supplement Series 112, 179-
189.
Nadal, J.-P., and Parga, N.: 1994, Non-linear neurons in the low-noise limit: A factorial code
maximises information transfer, Network 4, 295-312.
Needell, D., and Tropp, J. A.: 2008, CoSaMP: Iterative signal recovery from incomplete and
inaccurate samples, Applied and Computational Harmonic Analysis 6, 301-321.
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