Courses:

Transmission of Information >> Content Detail



Study Materials



Readings

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The reading assignments are from the required course textbook, Cover, T. M and J. A. Thomas. Elements of Information Theory. New York, NY: John Wiley & Sons, 2001. ISBN: 0471062596.

Supplemental readings are also provided below the required readings.

LEC#TOPICSREADINGS
1Introduction, Review of Random Variables, Entropy, Mutual Information, Chain RulesChapter 1, Sections 2.1 - 2.5
2Jensen's Inequality, Data Processing Theorem, Fanos's InequalitySections 2.6 - 2.8 and 2.11
3Markov Chain, Entropy Rate of Random ProcessesChapter 4
4Different Types of Convergence, Asymptotic Equipartition Property (AEP), Typical Set, Joint TypicalitySections 3.1 - 3.3 and 8.6
5Data Compression, Kraft Inequality, Optimal CodesSections 5.1 - 5.5
6Huffman Codes, Sensitivity of Distribution, Elias CodeSections 5.6 - 5.9
7GamblingChapter 6
8Channel Capacity, Symmetric and Erasure ChannelsSections 8.1 - 8.3
9Coding TheoremSections 8.4 - 8.9
10Strong Coding Theorem
11Strong Coding Theorem (cont.)
12Feedback CapacitySection 8.12
13Joint Source Channel CodingSection 8.13
14Differential EntropyChapter 9
15Gaussian Channel Sections 10.1 - 10.3
16Gaussian Channels: Parallel, Colored Noise, Inter-symbol InterferenceSections 10.4 - 10.5
17Maximizing EntropySections 11.1 - 11.6
18Gaussian Channels with FeedbackSection 10.6
19Fading Channels
20Types, Universal Source Coding, Sanov's TheoremSections 12.1 - 12.6
21Multiple Access ChannelsSections 14.1 - 14.3
22Slepian-Wolf CodingSections 14.4 - 14.5
23Broadcast ChannelsSection 14.6
24Channel Side Information, Wide-band Channels


Supplemental Readings

This section provides the optional supplementary readings for the course. Most of the readings are coded for difficulty:

One star (*): Accessible
Two stars (**): Requires significant mathematical maturity
Three stars(***): Expert level

Shannon, Claude. "A Mathematical Theory of Communication.'' Bell System Technical Journal 27 (July and October, 1948): 379-423 and 623-656. 

***Vembu, Sridhar, Sergio Verdu, and Yossef Steinberg. "The Source-Channel Separation Theorem Revisited." IEEE Trans. on Info. Theory 41, no. 1 (January 1995).

***Biglieri, Ezio, John Proakis, and Shlomo Shamai. "Fading Channels: Information-Theoretic and Communications Aspects." IEEE Trans. on Info. Theory 44, no. 6 (October, 1998).

*Rimoldi, Bixio, and Rudiger Urbanke. "A Rate-Splitting Approach to the Gaussian Multiple-Access Channel." IEEE Trans. on Info. Theory 42, no. 2 (March, 1996).

*Bergmans, Patrick. "A Simple Converse for Broadcast Channels with Additive White Gaussian Noise." IEEE Trans. on Info. Theory 20, no. 2 (March, 1974).

*———. "Random Coding Theorem for Broadcast Channels with Degraded Components" IEEE Trans. on Info. Theory 19, no. 2 (March 1973).

**Cover, Thomas. "Comments on Broadcast Channels." IEEE Trans. on Info. Theory 44, no. 6 (October, 1998).

**Mushkin, Mordechai, and Israel Bar-David. "Capacity and Coding for the Gilbert-Elliott Channels." IEEE Trans. on Info. Theory 35, no. 6 (November, 1989).

***Feder, Meir, and Neri Merhav. "Hierarchical Universal Coding." IEEE Trans. on Info. Theory 42, no. 5 (September, 1986).

***Verdu, Sergio, and Te Sun Han. "A General Formula for Channel Capacity." IEEE Trans. on Info. Theory 40, no. 4 (July, 1994).

*Gallager, Robert. "Variations on a Theme by Huffman." IEEE Trans. on Info. Theory 24, no. 6 (November, 1978).

*Chomsky, Noam. "Three Models for the Description on Language." IEEE Trans. on Info. Theory 2, no. 3 (November, 1956).

**Thomas, Joy. "Feedback Can at Most Double Gaussian Multiple Access Channel Capacity." IEEE Trans. on Info. Theory 33, no. 5 (September, 1987).

**Cheng, Roger, and Sergio Verdu. "Gaussian Multiaccess Channel with ISI: Capacity Region and Multiuser Water-Filling." IEEE Trans. on Info. Theory 39, no. 3 (May, 1993).

***Caire, Giuseppe, and Shlomo Shamai. "On the Capacity of Some Channels with Channel State Information." IEEE Trans. on Info. Theory 45, no. 6 (September, 1999).

*Gray, Robert, Mari Dunham, and R. Gobbi. "Eogodicity of Markov Channels." IEEE Trans. on Info. Theory 33, no. 5 (September, 1987).

***Goldsmith, Andrea, and Pravin Varaiya. "Capacity, Mutual Information, and Coding for Finite-State Markov Channels." IEEE Trans. on Info. Theory 42, no. 3 (May, 1993).

*Gallager, Robert. "A Perspective on Multiaccess Channels." IEEE Trans. on Info. Theory 31, no. 2 (March, 1985).

***Hirt, Walter, and James Massey. "Capacity of the Discrete-Time Gaussian Channel with Inter-symbol Interference." IEEE Trans. on Info. Theory 34, no. 3 (May, 1988).

**Shamai, Shlomo, and Aaron Wyner. "Information-Theoretic Considerations for Symmetric Cellular, Multiple-Access Fading Channels, Part I and II." IEEE Trans. on Info. Theory 43, no. 6 (May, 1997).

***Ozarow, Lawrence. "Random Coding for Additive Gaussian Channels with Feedback." IEEE Trans. on Info. Theory 36, no. 1 (January, 1990).

***Hughes, Brian, and Tony Thomas. "On Error Exponents for Arbitrarily Varying Channels." IEEE Trans. on Info. Theory 42, no. 1 (May, 1996).

***Medard, Muriel, and Robert Gallager. "Bandwidth Scaling for Fading Multipath Channels." IEEE Trans. on Info. Theory 48, no. 4 (April, 2002).

***Gallager, Robert. "A Simple Derivation of the Coding Theorem and Some Applications." IEEE Trans. on Info. Theory 11, no. 1 (January, 1965).

***Telatar, Emre, and David Tse. "Capacity and Mutual Information of Wideband Multipath Fading Channels." IEEE Trans. on Info. Theory 46, no. 4 (July, 2000).

**Telatar, I., "Capacity of Multi-antenna Gaussian Channels." European Transactions on Telecommunications 10 (Nov/Dec 1999): 585-595.

Verdu, Sergio. "On Channel Capacity per Unit Cost." EEE Trans. on Info. Theory 36, no. 5 (September 1990).

———. "Spectral Efficiency in the Wideband Regime." EEE Trans. on Info. Theory 48, no. 6 (June 2002).

Forney, David. "On Exponential Error Bounds for Random Codes on the BSC."

Jindal, Nihar, Sriram Vishwanath, and Andrea Goldsmith. "On The Duality of Gaussian Multiple-Access and Broadcast Channels." Preprint 2002.


 








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