G. Almpanidis, M. Kotti, and C. Kotropoulos, Robust Detection of Phone Boundaries Using Model Selection Criteria With Few Observations, IEEE Transactions on Audio, Speech, and Language Processing, vol.17, issue.2, pp.287-298, 2009.
DOI : 10.1109/TASL.2008.2009162

M. R. Thomas, J. Gudnason, and P. A. Naylor, Estimation of Glottal Closing and Opening Instants in Voiced Speech Using the YAGA Algorithm, IEEE Transactions on Audio, Speech, and Language Processing, vol.20, issue.1, pp.82-97, 2012.
DOI : 10.1109/TASL.2011.2157684

T. Ananthapadmanabha and B. Yegnanarayana, Epoch extraction from linear prediction residual for identification of closed glottis interval, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.27, issue.4, pp.309-319, 1979.
DOI : 10.1109/TASSP.1979.1163267

A. Krishnamurthy, Two-channel speech analysis, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.34, issue.4, pp.730-743, 1986.
DOI : 10.1109/TASSP.1986.1164909

R. Andre-obrecht, A new statistical approach for the automatic segmentation of continuous speech signals, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.36, issue.1, pp.29-40, 1988.
DOI : 10.1109/29.1486

URL : https://hal.archives-ouvertes.fr/inria-00076043

A. Arneodo, F. Argoul, E. Bacry, J. Elezgaray, and J. F. Muzy, Ondelettes, multifractales et turbulence, Diderot Editeur, 1995.

A. Arneodo, C. Baudet, F. Belin, R. Benzi, B. Castaing et al., Structure functions in turbulence, in various flow configurations, at Reynolds number between 30 and 5000, using extended self-similarity, Europhysics Letters (EPL), vol.34, issue.6, p.34411, 1996.
DOI : 10.1209/epl/i1996-00472-2

A. Arneodo, E. Bacry, S. Jaffard, and J. F. Muzy, Oscillating singularities on cantor sets: A grand-canonical multifractal formalism, Journal of Statistical Physics, vol.2, issue.1-2, pp.179-209, 1997.
DOI : 10.1007/BF02181485

A. Arneodo, E. Bacry, and J. F. Muzy, The thermodynamics of fractals revisited with wavelets, 11] A. Arneodo, B. Audit, P. Kestener, and S. Roux. Pwavelet-based multifractal analysis. Scholarpedia, p.4103, 1999.

M. M. Artimy, W. Robertson, and W. J. Phillips, Automatic detection of acoustic sub-word boundaries for single digit recognition, Engineering Solutions for the Next Millennium. 1999 IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.99TH8411), pp.751-754, 1999.
DOI : 10.1109/CCECE.1999.808034

B. S. Atal and S. L. Hanauer, Speech Analysis and Synthesis by Linear Prediction of the Speech Wave, The Journal of the Acoustical Society of America, vol.50, issue.2B, pp.637-655, 1971.
DOI : 10.1121/1.1912679

B. S. Atal and J. Remde, A new model of lpc excitation for producing naturalsounding speech at low bit rates, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 1982.

H. Badri, Computer graphics effects from the framework of reconstructible systems. Master's thesis, Rabat faculty of science-INRIA Bordeaux Sud-Ouest, 2012.

M. Banbrook, S. Mclaughlin, and I. Mann, Speech characterization and synthesis by nonlinear methods. Speech and Audio Processing, IEEE Transactions on, vol.7, pp.1-17, 1999.

G. Boffetta, M. Cencini, M. Falcioni, and A. Vulpiani, Predictability: a way to characterize complexity, Physics Reports, vol.356, issue.6, pp.367-47410, 2002.
DOI : 10.1016/S0370-1573(01)00025-4

A. Bouzid and N. Ellouze, Glottal opening instant detection from speech signal, EUropean Signal Processing COnference (EUSIPCO), 2004.

S. Boyd and L. Vandenberghe, Convex Optimization, 2004.

B. Bozkurt and T. Dutoit, Mixed-phase speech modeling and formant estimation , using differential phase spectrums, ISCA Voice Quality: Functions, Analysis and Synthesis, 2003.

E. J. Candès and J. Romberg, l1-magic : Recovery of sparse signals via convex programming, 2005.

E. J. Candès and M. B. Wakin, Enhancing Sparsity by Reweighted ??? 1 Minimization, Journal of Fourier Analysis and Applications, vol.7, issue.3, pp.877-905, 2008.
DOI : 10.1007/s00041-008-9045-x

G. Chollet, A. Esposito, M. Faundez-zanuy, and M. Marinaro, Nonlinear Speech Modeling and Applications: Advanced Lectures and Revised Selected Papers. Lecture notes in computer science: Tutorial, 2005.
DOI : 10.1007/b138975

W. C. Chu, Speech coding algorithms: foundation and evolution of standardized coders, 2003.
DOI : 10.1002/0471668850

C. , A. , and N. Sturmel, Glottal closure instant and voice source analysis using time-scale lines of maximum amplitude. Sadhana, pp.601-622, 2011.

E. Denoel and J. P. Solvay, Linear prediction of speech with a least absolute error criterion, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.33, issue.6, pp.1397-1403, 1985.
DOI : 10.1109/TASSP.1985.1164759

T. Drugman, Gloat toolbox

T. Drugman, Advances in Glottal Analysis and its Applications, 2011.

T. Drugman and T. Dutoit, Glottal closure and opening instant detection from speech signals, INTERSPEECH, 2009.

T. Drugman, G. Wilfart, and T. Dutoit, A deterministic plus stochastic model of the residual signal for improved parametric speech synthesis, Interspeech conference, 2010.

T. Drugman, M. Thomas, J. Gudnason, P. Naylor, and T. Dutoit, Detection of Glottal Closure Instants From Speech Signals: A Quantitative Review, IEEE Transactions on Audio, Speech, and Language Processing, vol.20, issue.3, pp.994-1006
DOI : 10.1109/TASL.2011.2170835

S. Dusan and L. Rabiner, On the relation between maximum spectral transition positions and phone boundaries, Proceddings of INTERSPEECH, pp.645-648, 2006.

A. Esposito and G. Aversano, Text Independent Methods for Speech Segmentation, Lecture Notes in Computer Science: Nonlinear Speech Modeling, pp.261-290, 2005.
DOI : 10.1007/11520153_12

A. Esposito and M. Marinaro, Nonlinear speech modeling and applications, chapter Some notes on nonlinearities of speech, pp.1-14, 2005.

T. Ewender, B. Pfisterzanuy, G. Kubin, W. B. Kleijn, P. Maragos et al., Accurate pitch marking for prosodic modification of speech segments Nonlinear speech processing: Overview and applications. Control and intelligent systems, Proceedings of INTERSPEECH, pp.1-10, 2002.

H. G. Feichtinger and K. Grochenig, Theory and practice of irregular sampling, chapter Wavelets Mathematics and Applications, 1993.

G. Flammia, P. Dalsgaard, O. Andersen, and B. Lindberg, Segment based variable frame rate speech analysis and recognition using a spectral variation function, ICSLP. ISCA, 1992.

C. Foias, G. C. Rota, O. Manley, R. Rosa, and R. Temam, Navier-Stokes equations and turbulence, 2001.
DOI : 10.1017/CBO9780511546754

U. Frisch and G. Parisi, On the singularity structure of fully developed turbulence, Turbulence and Predictability in Geophysical Fluid Dynamics and ClimateDynamics, pp.84-88, 1985.

J. S. Garofolo, L. F. Lamel, W. M. Fisher, J. G. Fiscus, D. S. Pallett et al., DARPA TIMIT acoustic-phonetic continuous speech corpus, 1993.

N. D. Gaubitch and P. A. Naylor, Spatiotemporal Averagingmethod for Enhancement of Reverberant Speech, 2007 15th International Conference on Digital Signal Processing, 2007.
DOI : 10.1109/ICDSP.2007.4288655

D. Giacobello, Sparsity in Linear Predictive Coding of Speech, Multimedia Information and Signal Processing, 2010.

D. Giacobello, M. G. Christensen, J. Dahl, S. H. Jensen, and M. Moonen, Sparse linear predictors for speech processing, Proceedings of the INTER- SPEECH, 2009.

D. Giacobello, M. G. Christensen, M. N. Murthi, S. H. Jensen, and M. Moonen, Enhancing sparsity in linear prediction of speech by iteratively reweighted 1-norm minimization, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing
DOI : 10.1109/ICASSP.2010.5495198

D. Giacobello, M. G. Christensen, M. N. Murthi, S. H. Jensen, and M. Moonen, Retrieving Sparse Patterns Using a Compressed Sensing Framework: Applications to Speech Coding Based on Sparse Linear Prediction, IEEE Signal Processing Letters, vol.17, issue.1, 2010.
DOI : 10.1109/LSP.2009.2034560

D. Giacobello, M. G. Christensen, M. N. Murth, S. Holdt-jensen, and F. Marc-moonen, Sparse Linear Prediction and Its Applications to Speech Processing, IEEE Transactions on Audio, Speech, and Language Processing, vol.20, issue.5, pp.1644-1657, 2012.
DOI : 10.1109/TASL.2012.2186807

J. Grazzini, A. Turiel, H. Yahia, and I. Herlin, Edge-preserving smoothing of high-resolution images with a partial multifractal reconstruction scheme, International Society for Photogrammetry and Remote Sensing (ISPRS), 2004.
URL : https://hal.archives-ouvertes.fr/inria-00609988

DOI : 10.1142/9789812774217_0022

URL : https://hal.archives-ouvertes.fr/inria-00422419

J. Holmes, Formant excitation before and after glottal closure, ICASSP '76. IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.39-42, 1976.
DOI : 10.1109/ICASSP.1976.1170095

K. Hu, P. C. Ivanov, Z. Chen, P. Carpena, and H. E. Stanley, Effect of trends on detrended fluctuation analysis. Physical review. E, Statistical, nonlinear, and soft matter physics, 2001.

Y. Hu and P. C. Loizou, Evaluation of Objective Quality Measures for Speech Enhancement, IEEE Transactions on Audio, Speech, and Language Processing, vol.16, issue.1, pp.229-238, 2008.
DOI : 10.1109/TASL.2007.911054

N. Hurley and S. Rickard, Comparing Measures of Sparsity, IEEE Transactions on Information Theory, vol.55, issue.10, pp.4723-4740, 2009.
DOI : 10.1109/TIT.2009.2027527

I. Ihm and B. Naylor, Scientific visualization of physical phenomena, chapter 32: Piecewise linear approximations of digitized space curves with applications, 1991.

I. Recommendation and P. , 862 : Perceptual evaluation of speech quality (PESQ), an objective method for end-to-end speech quality assessment of narrowband telephone networks and speech codecs

N. Jayant and J. F. Kaiser, Digital coding of speech waveforms: PCM, DPCM, and DM quantizers, Vocal Fold Physiology: Biomechanics , Acoustics, and Phonatory Control The Denver Center for the Performing Arts, pp.611-632, 1974.
DOI : 10.1109/PROC.1974.9484

Y. Kakihara, Abstract methods in information theory, Multivariate Analysis. World Scientific, 1999.

H. Kantz and T. Schreiber, Nonlinear Time Series Analysis. Cambridge nonlinear science series, 2003.

V. Khanagha, H. Yahia, K. Daoudi, O. Pont, and A. Turiel, Reconstruction of Speech Signals from Their Unpredictable Points Manifold, NOLISP, Lecture Notes in Computer Science, 2012.
DOI : 10.1007/978-3-642-25020-0_5

URL : https://hal.archives-ouvertes.fr/hal-00647197

T. Koizumi, S. Taniguchi, and S. Hiromitsu, Glottal source???vocal tract interaction, The Journal of the Acoustical Society of America, vol.78, issue.5, pp.1541-1547, 1985.
DOI : 10.1121/1.392789

I. Kokkinos and P. Maragos, Nonlinear speech analysis using models for chaotic systems, IEEE Transactions on Speech and Audio Processing, vol.13, issue.6, pp.1098-1109, 2005.
DOI : 10.1109/TSA.2005.852982

P. Kroon, E. Deprettere, and R. Sluyter, Regular-pulse excitation--A novel approach to effective and efficient multipulse coding of speech, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.34, issue.5, pp.1054-1063
DOI : 10.1109/TASSP.1986.1164946

G. Kubin, Speech coding and synthesis, chapter Nonlinear processing of speech, pp.557-610, 1995.

T. Li and J. D. Gibson, Speech analysis and segmentation by parametric filtering, IEEE Transactions on Speech and Audio Processing, vol.4, issue.3, pp.203-213

Y. Lin, Y. Wang, and Y. Liao, Phone boundary detection using samplebased acoustic parameters, Proceedings of INTERSPEECH, 2010.

M. A. Little, Mathematical foundations of nonlinear, non-gaussian, and timevarying digital speech signal processing, In NOLISP, pp.9-16, 2011.

M. A. Little and N. S. Jones, Generalized methods and solvers for noise removal from piecewise constant signals. I. Background theory, Proceedings of the Royal Society A, pp.3088-3114, 2011.
DOI : 10.1038/nature04003

M. A. Little and N. S. Jones, Generalized methods and solvers for noise removal from piecewise constant signals. II. New methods, Proceedings of
DOI : 10.1093/biomet/82.2.385

M. A. Little, P. Mcsharry, I. Moroz, and S. Roberts, Nonlinear, biophysicallyinformed speech pathology detection, IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2006-2016, 2006.
DOI : 10.1109/icassp.2006.1660534

M. A. Little, P. Mcsharry, S. Roberts, D. Costello, and I. Moroz, Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection, BioMedical Engineering OnLine, vol.6, issue.1, 2007.
DOI : 10.1186/1475-925X-6-23

M. A. Little, P. Mcsharry, I. M. Moroz, and S. J. Roberts, Testing the assumptions of linear prediction analysis in normal vowels, The Journal of the Acoustical Society of America, vol.119, issue.1, pp.549-558, 2006.
DOI : 10.1121/1.2141266

M. A. Little, Biomechanically Informed Nonlinear Speech Signal Processing, 2007.

P. Macha? and R. Skarnitzl, Principles of Phonetic Segmentation. Edition erudica. Epocha, 2009.

S. K. Maji, O. Pont, H. Yahia, and J. Sudre, Inferring Information Across Scales in Acquired Complex Signals, European Conference on Complex Systems (ECCS), 2012.
DOI : 10.1007/978-3-319-00395-5_31

URL : https://hal.archives-ouvertes.fr/hal-00872371

S. K. Maji, H. M. Yahia, O. Pont, J. Sudre, T. Fusco et al., Towards multiscale reconstruction of perturbated phase from Hartmann-Shack acquisitions, 2012 NASA/ESA Conference on Adaptive Hardware and Systems (AHS), pp.77-84, 2012.
DOI : 10.1109/AHS.2012.6268633

URL : https://hal.archives-ouvertes.fr/hal-00703723

S. Mallat, A Wavelet Tour of Signal Processing, 1999.

S. Mallat and W. Hwang, Singularity detection and processing with wavelets, IEEE Transactions on Information Theory, vol.38, issue.2, pp.617-643, 1992.
DOI : 10.1109/18.119727

P. Maragos and A. Potamianos, Fractal dimensions of speech sounds: Computation and application to automatic speech recognition, The Journal of the Acoustical Society of America, vol.105, issue.3, pp.1925-1932, 1999.
DOI : 10.1121/1.426738

S. Mclaughlin and P. Maragos, Nonlinear methods for speech analysis and synthesis, Advances in Nonlinear Signal and Image Processing, 2006.

P. Mcsharry, L. Smith, and L. Tarassenkeo, Prediction of epileptic seizures: are nonlinear methods relevant?, Nature Medicine, vol.9, issue.3, pp.241-242, 2009.
DOI : 10.1038/nm0303-241

D. Meng, Q. Zhao, Z. Xu, C. D. Mitchell, M. P. Harper et al., Improved robustness of sparse pca by l1-norm maximization Using explicit segmentation to improve hmm phone recognition, Acoustics, Speech, and Signal Processing ICASSP-95., 1995 International Conference on, pp.487-497, 1995.

E. Moulines and F. Charpentier, Pitch-synchronous waveform processing techniques for text-to-speech synthesis using diphones, Speech Communication, vol.9, issue.5-6, pp.453-4670167, 1990.
DOI : 10.1016/0167-6393(90)90021-Z

K. S. Murty and B. Yegnanarayana, Epoch Extraction From Speech Signals, IEEE Transactions on Audio, Speech, and Language Processing, vol.16, issue.8
DOI : 10.1109/TASL.2008.2004526

J. F. Muzy, E. Bacry, and A. Arneodo, Multifractal formalism for fractal signals: The structure-function approach versus the wavelet-transform modulus-maxima method, Physical Review E, vol.47, issue.2, pp.875-884, 1993.
DOI : 10.1103/PhysRevE.47.875

J. F. Muzy, E. Bacry, and A. Arneodo, Wavelets and multifractal formalism for singular signals: Application to turbulence data, Physical Review Letters, vol.67, issue.25, pp.3515-3518, 1991.
DOI : 10.1103/PhysRevLett.67.3515

P. A. Naylor, Estimation of Glottal Closure Instants in Voiced Speech Using the DYPSA Algorithm, IEEE Transactions on Audio, Speech and Language Processing, vol.15, issue.1, pp.34-43, 2007.
DOI : 10.1109/TASL.2006.876878

E. N. Pinson, Pitch???Synchronous Time???Domain Estimation of Formant Frequencies and Bandwidths, The Journal of the Acoustical Society of America, vol.35, issue.8, pp.1264-1273, 1963.
DOI : 10.1121/1.1918682

V. Pitsikalis and P. Maragos, Analysis and classification of speech signals by generalized fractal dimension features, Speech Communication, vol.51, issue.12, pp.1206-1223, 2009.
DOI : 10.1016/j.specom.2009.06.005

URL : https://hal.archives-ouvertes.fr/hal-00575231

M. D. Plumpe, Modeling of the glottal flow derivative waveform with application to speaker identification, IEEE Transactions on Speech and Audio Processing, vol.7, issue.5, 1997.
DOI : 10.1109/89.784109

O. Pont, A. Turiel, and C. J. Pérez-vicente, Description, modeling and forecasting of data with optimal wavelets, Journal of Economic Interaction and Coordination, vol.4, issue.1, pp.1860-7128, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00438526

O. Pont, A. Turiel, and C. J. Perez-vicente, Empirical evidences of a common multifractal signature in economic, biological and physical systems, Physica A: Statistical Mechanics and its Applications, vol.388, issue.10, pp.2025-2035, 2009.
DOI : 10.1016/j.physa.2009.01.041

URL : https://hal.archives-ouvertes.fr/inria-00438521

J. G. Proakis and D. K. Manolakis, Digital signal processing, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.23, issue.4, 1995.
DOI : 10.1109/TASSP.1975.1162707

T. F. Quatieri, Discret-time speech signal processing principles and practice, 2001.

O. J. Rasanen, U. K. Laine, and T. Altosaar, An improved speech segmentation quality measure: the R-value, Proceedings of INTERSPEECH, 2009.

O. J. Räsänen, U. Laine, and T. Altosaar, Blind Segmentation of Speech Using Non-Linear Filtering Methods, Speech Technologies. InTech, pp.10-5772, 2011.
DOI : 10.5772/16433

D. L. Ruderman and W. Bialek, Statistics of natural images: Scaling in the woods, Physical Review Letters, vol.73, issue.6, pp.814-817, 1994.
DOI : 10.1103/PhysRevLett.73.814

K. Sauer and J. Allebach, Iterative reconstruction of bandlimited images from nonuniformly spaced samples, IEEE Transactions on Circuits and Systems, vol.34, issue.12, p.34
DOI : 10.1109/TCS.1987.1086088

S. C. Shadden, Lagrangian Coherent Structures Tutorial, 2009.
DOI : 10.1002/9783527639748.ch3

M. Sharma and R. J. Mammone, "Blind" speech segmentation: automatic segmentation of speech without linguistic knowledge, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96, pp.1237-1240, 1996.
DOI : 10.1109/ICSLP.1996.607832

Z. She and E. Leveque, Universal scaling laws in fully developed turbulence, Physical Review Letters, vol.72, issue.3, pp.336-339, 1994.
DOI : 10.1103/PhysRevLett.72.336

S. Singhal and B. S. , Amplitude optimization and pitch prediction in multipulse coders, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.37, issue.3, pp.317-327, 1989.
DOI : 10.1109/29.21700

R. Smits and B. Yegnanarayana, Determination of instants of significant excitation in speech using group delay function waveform IEEE Transactions on [111] J. Sole-Casals and V. Zaiats, Advances in Nonlinear Speech Processing: International Conference on Nonlinear Speech Processing, 2009.

H. and E. Stanley, Introduction to Phase Transitions and Critical Phenomena (International Series of Monographs on Physics), 1987.

K. Steiglitz and B. Dickinson, The use of time-domain selection for improved linear prediction, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.25, issue.1, pp.34-39, 1977.
DOI : 10.1109/TASSP.1977.1162908

B. H. Story, An overview of the physiology, physics and modeling of the sound source for vowels, Acoustical Science and Technology, vol.23, issue.4, pp.195-206, 2002.
DOI : 10.1250/ast.23.195

N. Sturmel, C. , and F. Rigaud, Glottal closure instant detection using Lines of Maximum Amplitudes (LOMA) of thewavelet transform, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.4517-4520, 2009.
DOI : 10.1109/ICASSP.2009.4960634

Y. Stylianou, Applying the harmonic plus noise model in concatenative speech synthesis, IEEE Transactions on Speech and Audio Processing, vol.9, issue.1, pp.21-29, 2001.
DOI : 10.1109/89.890068

J. Tailleur, Grandes déviations, physique statistique et systèmes dynamiques, 2007.

T. Takagi and M. Sugeno-m, Fuzzy identification of systems and its applications to modeling and control, IEEE Transactions on Systems, Man, and Cybernetics, vol.15, issue.1, pp.116-132, 1985.
DOI : 10.1109/TSMC.1985.6313399

H. M. Teager and S. M. Teager, Evidence for Nonlinear Sound Production Mechanisms in the Vocal Tract, Speech Production and Speech Modelling. NATO Advanced Study Institute Series D, 1989.
DOI : 10.1007/978-94-009-2037-8_10

I. R. Titze, The Myoelastic Aerodynamic Theory of Phonation. The national center for voice & speech, 2007.

D. Torre-toledano, L. A. Hernandez-gomez, and L. Villarrubia-grande, Automatic phonetic segmentation, IEEE Transactions on Speech and Audio Processing, vol.11, issue.6, pp.617-625, 2003.
DOI : 10.1109/TSA.2003.813579

V. N. Tuan and C. , Robust glottal closure detection using the wavelet transform, Proceedings of the European Conference on Speech Technology, pp.2805-2808, 1999.

A. Turiel and A. Del-pozo, Reconstructing images from their most singular fractal manifold, IEEE Transactions on Image Processing, vol.11, issue.4, pp.345-350, 2002.
DOI : 10.1109/TIP.2002.999668

URL : https://hal.archives-ouvertes.fr/inria-00532760

A. Turiel and N. Parga, The Multifractal Structure of Contrast Changes in Natural Images: From Sharp Edges to Textures, Neural Computation, vol.12, issue.4, pp.763-793, 2000.
DOI : 10.1098/rspb.1998.0303

A. Turiel and C. Pérez-vicente, Multifractal measures: definition, description, synthesis and analysis. a detailed study Journées d'étude sur les méthodes pour les signaux complexes en traitement d'image, Proceedings of the, pp.41-57, 2004.

A. Turiel, C. J. Pérez-vicente, and J. Grazzini, Numerical methods for the estimation of multifractal singularity spectra on sampled data: A comparative study, Journal of Computational Physics, vol.216, issue.1, pp.362-390362, 2006.
DOI : 10.1016/j.jcp.2005.12.004

A. Turiel, H. Yahia, and C. Pérez-vicente, Microcanonical multifractal formalism???a geometrical approach to multifractal systems: Part I. Singularity analysis, Journal of Physics A: Mathematical and Theoretical, vol.41, issue.1, p.15501, 2008.
DOI : 10.1088/1751-8113/41/1/015501

URL : https://hal.archives-ouvertes.fr/hal-00937370

D. Wong, J. Markel, A. Jr, and . Gray, Least squares glottal inverse filtering from the acoustic speech waveform, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.27, issue.4, pp.350-355
DOI : 10.1109/TASSP.1979.1163260

H. Yahia, J. Sudre, C. Pottier, V. Garçon, H. Yahia et al., Motion analysis in oceanographic satellite images using multiscale methods and the energy cascade High-resolution ocean dynamics from microcanonical formulations in non linear complex signal analysis, AGU FALL MEETING, 2011.