T. Quatieri, Discret-Time Speech Signal Processing Principles and Practice, 2001.

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

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

D. Meng, Z. Zhao, and . Xu, Improved robustness of sparse PCA by L1-norm maximization. Pattern Recogn, pp.487-497, 2012.

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

E. Denoel and J. 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

D. Giacobello, . Mg-christensen, . Mn-murthi, M. Sh-jensen, and . Moonen, Enhancing sparsity in linear prediction of speech by iteratively reweighted 1-norm minimization, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.4650-4653, 2010.
DOI : 10.1109/ICASSP.2010.5495198

M. Little and . Jones, Generalized methods and solvers for noise removal from piecewise constant signals. I. Background theory, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.19, issue.7060, pp.3088-3114, 2011.
DOI : 10.1038/nature04003

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3191852

M. Little and . Jones, Generalized methods and solvers for noise removal from piecewise constant signals. II. New methods, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.82, issue.2, pp.3115-3140, 2011.
DOI : 10.1093/biomet/82.2.385

. Ej-candèscand-`-candès and . Mb-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

E. Candèscand-`-candès and J. Romberg, 1-MAGIC: Recovery of sparse signals via convex programming. California Institute of Technology, p.24, 2005.

D. Giacobello, . Mg-christensen, S. Mn-murth, and . Jensen, 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

URL : http://vbn.aau.dk/ws/files/62682401/asl2012dg.pdf

K. Murty and . Yegnanarayana, Epoch Extraction From Speech Signals, IEEE Transactions on Audio, Speech, and Language Processing, vol.16, issue.8, pp.1602-1613, 2008.
DOI : 10.1109/TASL.2008.2004526

T. Drugman, . Thomas, . Gudnason, T. Naylor, and . 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, 2012.
DOI : 10.1109/TASL.2011.2170835

M. Thomas, P. Gudnason, and . 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

D. Wong, J. Markel, 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, 1979.
DOI : 10.1109/TASSP.1979.1163260

J. Garofolo, W. Lamel, . Fisher, . Fiscus, . Pallett et al., DARPA TIMIT Acoustic-Phonetic Continuous Speech Corpus, Tech. rep., U.S. Dept. of Commerce, NIST. (MD, 1993.

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

S. Singhal, 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

D. Giacobello, . Christensen, . Murthi, M. Jensen, and . 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, pp.103-106, 2010.
DOI : 10.1109/LSP.2009.2034560