next up previous
Next: List of Tables Up: Unbiased high resolution method Previous: Acknowledgements

Bibliography

Achermann et al., 1994
Achermann, P., Hartmann, R., Gunziger, A., and Guggenbühl, A. (1994).
All night sleep and artificial stochastic control signals have similar correlation dimension.
Electroencephalography Clinical Neurophysiology, 90:384-387.

Aeschbach and Borbély, 1993
Aeschbach, D. and Borbély, A. (1993).
All-night dynamics of the human sleep EEG.
J. Sleep Res., 2:70-81.

Basar and Bullock, 1989
Basar, E. and Bullock, T. H., editors (1989).
Brain Dynamics, Progress and Perspectives.
Springer-Verlag.

Blinowska et al., 1997
Blinowska, K. J., Durka, P. J., Skierski, A., Grandori, F., and Tognola, G. (1997).
High resolution time-frequency analysis of otoacoustic emissions.
Technology & Health Care, 5(6):407-18.

Blinowska and Malinowski, 1991
Blinowska, K. J. and Malinowski, M. (1991).
Non linear and linear forecasting of the EEG time series.
Biological Cybernetics, 66:159-165.

Davis, 1994
Davis, G. (1994).
Adaptive Nonlinear Approximations.
PhD thesis, New York University.
ftp://cs.nyu.edu /pub/wave/report/ DissertationGDavis.ps.Z.

Dietsch, 1932
Dietsch, G. (1932).
Fourier-analyse von Elektrenkephalogrammen des Menschen.
Pflüger's Arch. Ges. Physiol., 230:106-112.

Durka, 1996
Durka, P. J. (1996).
Time-frequency analyses of EEG.
PhD thesis, Warsaw University.
ftp://brain.fuw.edu.pl /pub/DissertationPJDurka.ps.Z.

Durka and Blinowska, 1995
Durka, P. J. and Blinowska, K. J. (1995).
Analysis of EEG transients by means of matching pursuit.
Annals of Biomedical Engineering, 23:608-611.

Durka et al., 2001
Durka, P. J., Ircha, D., and Blinowska, K. J. (2001).
Stochastic time-frequency dictionaries for matching pursuit.
IEEE Transaction on Signal Processing, 49(3):507-510.

Dvorák and Holden, 1991
Dvorák, I. and Holden, A. V., editors (1991).
Mathematical Approaches to brain funtioning diagnostics.
Proceedings in Nonlinear Science. Manchester University Press.

Franaszczuk et al., 1998
Franaszczuk, P. J., Bergey, G. K., Durka, P. J., and Eisenberg, H. M. (1998).
Time-frequency analysis using the matching pursuit algorithm applied to seizures originating from the mesial temporal lobe.
Electroenceph. Clin. Neurophys., 106:513-521.

Hao et al., 1992
Hao, Y. L., Ueda, Y., and Ishii, N. (1992).
Improved procedure of complex demodulation and an application to frequency analysis of sleep spindles in EEG.
Medical and Biological Engineering and Computing, 30:406-412.

Jankel and Niedermayer, 1985
Jankel, W. R. and Niedermayer, E. (1985).
Sleep spindles.
Journal of Clinical Neurophysiology, 2(1):1-35.

Jobert et al., 1992
Jobert, M., Poiseau, E., Jahnig, P., Schulz, H., and Kubicki, S. (1992).
Topographical analysis of sleep spindle activity.
Neuropsychobiology, 26:210-217.

Krishnan et al., 2000
Krishnan, S., Rangayyan, R. M., Bell, G. D., and Frank, C. B. (2000).
Adaptive time-frequency analysis of knee joint vibroarthrographic signals for noninvasive screening of articular cartilage pathology.
IEEE Trans. Biomed. Engineering, 47(6):773-83.

Lopes Da Silva, 1996
Lopes Da Silva, F. H. (1996).
The generation of electric and magnetic signals of the brain by local networks.
In Greger, R. and Windhorst, U., editors, Comprehensive Human Physiology, volume 1, chapter 25, pages 509-528. Springer-Verlag.

Mallat, 1989
Mallat, S. (1989).
A theory of multiresolution signal decomposition: the wavelet representation.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(7):674-693.

Mallat and Zhang, 1993
Mallat, S. and Zhang, Z. (1993).
Matching pursuit with time-frequency dictionaries.
IEEE Transactions on Signal Processing, 41:3397-3415.

Niedermayer and Lopes Da Silva, 1999
Niedermayer, E. and Lopes Da Silva, F., editors (1999).
Electroencephalography: Basic Principles, Clinical Applications and Related Fields.
Williams & Wilkins, fourth edition.

Pijn et al., 1991
Pijn, J. P., Neerven, J. V., Noest, A., and Lopes da Silva, F. H. (1991).
Chaos or noise in EEG signals: dependence on state and brain site.
Electroencephalography Clinical Neurophysiology, 79:371-381.

Qian et al., 1992
Qian, S., Chen, D., and Chen, K. (1992).
Signal approximation via data-adaptive normalized gaussian functions and its applications for speech processing.
In Proceedings of ICASSP-92, pages 141-144, San Francisco, CA.

Qian et al., 1998
Qian, S., Chen, D., and Yin, Q. (1998).
Adaptive chirplet based signal approximation.
In IEEE 1998 International Conference on ASSP, volume III, pages 1781-1783, Seattle, Washington.

Rechtschaffen and Kales, 1968
Rechtschaffen, A. and Kales, A., editors (1968).
A manual of standarized terminology, techniques and scoring system for sleep stages in human subjects.
US Government Printing Office.

Skarda and Freeman, 1987
Skarda, C. A. and Freeman, W. J. (1987).
How brain makes chaos in order to make sense of the world.
Behavioral and Brain Sciences, 10:161-195.

Williams, 1997
Williams, W. J. (1997).
Recent advances in time-frequency representations: Some theoretical foundations.
In Akay, M., editor, Time Frequency and Wavelets in Biomedical Signal Processing, IEEE Press Series in Biomedical Engineering. IEEE Press.

Zhang et al., 1998
Zhang, X., Durand, L. G., Senhadji, L., Lee, H. C., and Coatrieux, J. L. (1998).
Time-frequency scaling transformation of the phonocardiogram based on the matching pursuit method.
IEEE Trans. Biomed. Engineering, 45(8):972-9.

Zygierewicz et al., 1998
Zygierewicz, J., Kelly, E. F., Blinowska, K. J., Durka, P. J., and Folger, S. E. (1998).
Time-frequency analysis of vibrotactile driving responses by matching pursuit.
Journal of Neuroscience Methods, 81:121-129.



Piotr J. Durka 2001-06-11