H. Akaike, Power spectrum estimation through autoregressive model fitting, Annals of the Institute of Statistical Mathematics, vol.50, issue.1, pp.407-419, 1969.
DOI : 10.1093/biomet/50.1-2.129

F. Ebrahimi, Assessment of Itakura Distance as a valuable feature for computeraided classification of sleep stages, Conference Information: 29th Annual International Conference of the IEEE, pp.1-16, 2007.

E. Estrada, H. Nazeran, and P. Nava, Itakura Distance: A Useful Similarity Measure between EEG and EOG Signals in Computer-aided Classification of Sleep Stages, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, pp.1-7, 2005.
DOI : 10.1109/IEMBS.2005.1616636

R. Gray, Distortion measures for speech processing, IEEE Transactions on Acoustics,Speech and Signal Procesing, pp.367-376, 1980.
DOI : 10.1109/TASSP.1980.1163421

C. Iber, The American Academy of Sleep Medicine Manual for the Scoring of Sleep and Associated Events, 2007.

S. Kay, Modern Spectral Estimation: Theory and Application, 1999.

M. Nicolau, Why we sleep: the evolutionary pathway to the mammalian sleep, Progress in Neurobiology, vol.62, issue.4, pp.379-406, 2000.
DOI : 10.1016/S0301-0082(00)00013-7

A. Rechtschaffen and J. Siegel, Sleep and Dreaming, In: Principles of Neuroscience, 2000.

F. Soong and M. Sondhi, A Frequency-Weighted Itakura Spectral Distortion Measure and It's Application to Speech Recognition in Noise, IEEE International Conference Acoustics, Speech and Signal Processing, pp.625-628, 1987.