EE
568
Elements
of Information Theory
Instructor:
Natalia A. Schmid
Spring 2007
Lecture
Notes:
·
Lecture Notes from January 11, 2007 [handouts]
·
R. G. Gallager, Information Theory and Reliable
Communication, John Wiley & Sons, 1968.
·
R. E. Blahut, Principles and Practice of Information
Theory, Addison-Wesley, 1988.
·
S. Kullback, Information Theory and Statistics,
Dover, 1997.
·
J. A.
Bucklew, Large Deviation Techniques in Decision, Simulation, and
Estimation, New York: Wiley,
1990.
Kolmogorov Complexity:
·
A. N. Kolmogorov,
“Logical Basis for Information Theory and Probability Theory,” IEEE Trans. on Info. Theory, vol. IT-14,
no. 5, Sept. 1968 [pdf-copy].
·
G. J. Chaitin,
“On the Difficulty of Computations,” IEEE Trans. on Info. Theory, vol. IT-16, no.1, Jan. 1970 [pdf-copy].
·
G. J. Chaitin,
“Informatio-Theoretical Computational Complexity,” IEEE Trans. on Info. Theory, vol. IT-20,
no.1, Jan. 1974 [pdf-copy].
MDL:
·
Grunwald’s
tutorial on MDL [pdf-copy].
·
A.
Lanterman’s Review on MDL and MML [pdf-copy].
·
Barron, A.; Rissanen, J.; Bin Yu;
“The
minimum description length principle in coding and modeling,” IEEE Trans.
on Info. Theory,
vol. 44 , no. 6 , Oct. 1998, pp. 2743 – 2760 [pdf-copy].
Rate Distortion:
· T. Berger, Rate Distortion Theory: A Mathematical Basis for Data Compression, Prentice Hall, Englewood Cliffs, NJ, 1971.
·
A. Gersho and R.
M. Gray, Vector Quantization and Signal
Compression, Kluwer Academic Publishers, Boston, 1992.
·
See the link on
Vector Quantization.
·
Robert
Gray’s web page http://www-ee.stanford.edu/~gray/
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This file is maintained by Natalia A. Schmid.
Respond to her via natalias@csee.wvu.edu