Information and Coding Theory Seminar
Fall 2009
09/10 Prof. Alexander Barg (UMD), Bounds On the Size of Sets with Few Distances Spring 2009
02/12 Prof. Alexander Barg (UMD), Polarization Codes Fall 2008
09/11 Anuj Rawat (UMD), Coloring Rooted Subtrees of a Bidirected Tree Spring 2008
02/07 Jřrn Justesen (Technical University of Denmark), Cores in Random Graphs and Some Applications to Error-correcting Codes Fall 2007 9/13 Kickoff meeting 2/07
Arya Mazumdar (UMD), Interleavers in Parallel
Turbo Codes (Part 1) 9/6 Organizational meeting
9/27
Alexander Barg (UMD), Two topics in error-correcting
codes: Locally testable codes and the Gilbert-Varshamov bound 10/4 Nuno Martins (UMD), Coding
for Additive White Noise Channels with Feedback Corrupted by Uniform Quantization
or Bounded Noise 10/11
Vijay Gupta (UMD),
Data Transmission
over Networks for Estimation and Control 10/25
N. Prasanth Anthapadmanabhan (UMD), Capacity
of binary fingerprinting with two pirates 11/1
Sirin Nitinawarat (UMD), A
Graph-based Framework for Transmission of Correlated Sources over Multiple Access
Channels 11/8
Armand Makowski (UMD), Geometric random graphs
on the unit interval (Part I) 11/14
Rudolf Ahlswede (Universität
Bielefeld), Identification
Entropy (joint
with HyNet Colloquium) 12/4
Armand Makowski (UMD), Geometric random graphs
on the unit interval (Part II) 12/6
Nan Liu (UMD), Dense Gaussian Sensor
Networks: Minimum Achievable Distortion and the Order Optimality of Separation 12/13
Brooke Shrader (UMD), Fountain Codes
and Fountain Capacity Spring 2006 2/20 Damianos Karakos (JHU),
Estimating Conditional Densities from Sparse
Data for Statistical 2/28 Achilleas Anastasopoulos
(UMich/UMD), Performance analysis and decoding
complexity of turbo-like codes in noisy channels 3/7 (i) Achilleas Anastasopoulos
(cont'd) (ii) Andrew Duggan (UMD) Performance
bounds on the list decoding of RS codes 4/3 Time
11:30 Poorvi Vora (GWU) Related-Key
Linear Cryptanalysis of Block Ciphers 4/10 Andrew Duggan (UMD) Correcting
Errors Beyond the Guruswami-Sudan Radius 4/17 Pascal Vontobel (MIT)
Graph-Cover Decoding: Connecting Iterative
Decoding and Linear 4/24 Sirin Nitinawarat (UMD)
Secret Key Generation for Correlated Gaussian
Sources 5/8
Ahmed Sadek (UMD) Impact of Cooperation
at the MAC Layer 9/19
AVW 2168, A. Barg (UMD), The error exponent
for "dirty paper coding" 9/26
Raymond Yeung (CU HongKong), Network Coding 10/3
AVW 3258, Ahmed Sadek (UMD), Diversity-Multiplexing
Tradeoff 10/10
Sirin Nitinawarat (UMD), Weight Distribution
of LDPC Codes (References: 1 2
3 4) 10/17
AVW 3258, Ahmed Sadek (UMD), Diversity-Multiplexing
Tradeoff (Contd...) 10/24
Alexander Barg (UMD), A linear-algebraic
approach to linear programming bounds of coding theory 10/31
Alkan Soysal (UMD), Duality of Gaussian multiple-access
and broadcast channels 11/7 N. Prasanth Anthapadmanabhan
(UMD), Linear network coding 11/21 Punarbasu Purkayastha
(UMD), Nested linear/lattice codes for structured
multiterminal binning 11/28 Karim Seddik (UMD),
Cooperative strategies and capacity theorems
for relay networks 12/5 No
seminar 12/12 Andrew Duggan (UMD),
Communicating via a Processing Broadcast Satellite;
12/19 Wei Kang & Nan Liu
(UMD), Capacity Region of Gaussian MIMO Broadcast
Channel Spring 2005 2/2 Grigory
Kabatiansky (IPPI, Moscow), Collusion secure
digital fingerprinting: the case of two pirates revisited
4/13 Alexander Barg
(UMD), Quantum Codes: An Introduction
(continued)
4/20 Punarbasu Purkayastha (UMD), Weight
distribution of LDPC codes
5/4 Martin Wainwright (UC Berkeley) (joint with CSPL seminar),
Tree-reweighted message-passing algorithms in graphical models: Some theory
and applications 5/12 Pierre Moulin (UIUC) (CSPL
seminar, note the unusual day), Communication
games with side information Fall 2004 Abstract:
Standard decoding algorithms for RS codes usually lead to decoding failure when
more than D/2 errors occur, while decoding errors are very rare. When RS codes
are used in various forms of concatenated codes, it is desirable to correct
more errors, and often additional information is available from the inner code.
In the talk I will consider some recent advances in RS decoding and their potential
for improving decoder performance.
10/5 N. Prasanth Anthapadmanabhan (UMD)Optimal Probabilistic Fingerprint
Codes
9/28 No seminar due to Allerton conference.
9/21 Chunxuan Ye (UMD) The private key capacity region for three terminals
(joint work with P. Narayan)
9/14 Kaushik Chakraborty (UMD), Capacity of the Optical Fading Channel with
Channel State Information Spring 2004 3/24
A. Barg (UMD), Codes from bipartite graphs 3/31
A. Barg (UMD), Bounding the error probability via the distance distribution
of codes 4/7
No seminar 4/14
P. Narayan (UMD), Secret key generation and Slepian-Wolf data compression 4/21
Damianos Karakos (JHU), EM algorithm and its connection with alternating
minimization technique of Csiszar and Tusnady 4/28
N. Prasanth Anthapadmanabhan and Kaushik Chakraborthy (UMD), Mutual Information
and MMSE in Gaussian Channels (Guo-Shamai-Verdu '04) 5/5
Vinay Chande (UMD), Exponential Error bounds for Erasure, List and Decision
Feedback Schemes (Forney '68)
09/17 Prof. Navin Kashyap (Queen's University at Kingston), Complexity of Graphical Realizations of Linear Codes
09/24 Prof. Navin Kashyap (Queen's University at Kingston), Complexity of Graphical Realizations of Linear Codes
10/01 Hiroshi Nozaki (U. Texas, Brownsville and Tohoku University), Geometrical approach for strongly regular graphs
10/08 Arya Mazumdar (UMD), Rank Permutation Codes
10/15 Punarbasu Purkayastha (UMD), Near-MDS ordered codes and distributions
10/22 Prof. Alexander Barg (UMD), On the number of errors correctable with codes on graphs
10/29 Himanshu Tyagi (UMD), Secure Computation
11/05 Sirin Nitinawarat (UMD), Perfect Secrecy, Perfect Omniscience and Steiner Tree Packing
11/19 Yury Polyanskiy (Princeton), Achievability bounds in the regime of fixed
probability of error
02/19 Arya Mazumdar (UMD), Linear Balancing Sets
02/26 No Seminar
03/05 Prasanth Anthapadmanabhan (UMD), Two-level Fingerprinting Codes
03/12 Gabriel Lipsa (UMD), Optimal Distributed State Estimation with
Communication Cost: A Majorization Theory Approach
03/25 S. Sandeep Pradhan (University of Michigan), Toward a New
Approach to Distributed Source Coding: Harnessing Group Structure
04/02 Punarbasu Purkayastha(UMD), List Decoding Size and Weight distribution of Reed Muller Codes
04/09 Sirin Nitinawarat(UMD), Secrecy, Perfect Omniscience and Steiner Tree Packing
04/23 Himanshu Tyagi (UMD), Strong Converse and Sphere Packing Bound for Channel with States
04/30 Arash Komaee (UMD), Nonlinear Filters for Pulse Arrival Detection in the Presence of White Gaussian Noise
05/14 Grigory Kabatiansky, IITP RAS (Moscow,Russia), Reed-Muller Codes and Their List Decoding
09/18 Himanshu Tyagi (UMD),
Proof of Converse of Burnashev's Reliability Function for DMC with Feedback
10/02 Arya Mazumdar (UMD),
Compressed Sensing: A coding Theoretic Perspective
10/16 Sirin Nitinawarat (UMD),
Information-theoretic Limits on Sparsity Pattern Recovery in High-Dimensional and Noisy Setting
10/23 Professor Damianos Karakos (Johns Hopkins University) ,
Computation of Csiszár's Mutual Information of Order Alpha
10/30 Ravi Tandon (UMD),
Outer Bounds for the Multiple Access Channel with Feedback
11/05 Ghid Maatouk (EPFL),
Recursions for the LT Decoder
12/04 Professor John Baras (UMD),
Dynamic Network Security Deployment under Partial
Information
12/11 A. Samorodnitsky (Hebrew University),
What Makes the Linear Programming Bounds for Codes so Good?
02/14 Arya Mazumdar (UMD), Thresholds for Codes on Bipartite Graph
02/21 No seminar
02/28 Sirin Nitinawarat,
Secret Key Generation for a Pairwise
Independent Network Model
03/06 Anna Pantelidou, A Cross-layer
Approach for Stable Throughput Maximization under Channel State Uncertainty
03/13 Arash Komaee, State
Estimation with Point Process Observation
03/20 Spring break
03/37 N. Prasanth Anthapadmanabhan,
Intersections of Random Graphs
04/03 Alexander Barg, Weight
distribution and decoding of codes on hypergraphs
04/10 No Seminar,
04/17 P. S. Krishnaprasad (UMD), Information Geometry and Dynamics on the Probability Simplex
04/24 Radu Balan (UMD), MDL based Estimation of the Number of Sources in a Sparse Signals Mixture Model
05/1 No seminar
05/8 Osman Yagan (UMD), A Zero-one Law for Connectivity in the Random Graphs Induced by a Random Key Predistribution Scheme
9/20 Alexander Barg (UMD), An introductory overview of coding theory
9/27 No seminar because of Allerton conference
10/4 No seminar for no reason
10/11 Prakash Narayan (UMD), Information Theory for Beginners
I
10/18 Prakash Narayan (UMD), Information Theory for Beginners
II
10/25 Wei Kang (UMD), The Relay
Channel
11/1 Nuno C. Martins (UMD) Entropy-power inequalities in networked control
11/8 Brooke Shrader (UMD) Feedback Capacity of the Compound Channel
11/15 Venkat Guruswami (UWA), List Decoding with Optimal Rate
11/22 Thanksgiving break
11/29 Raef Bahi Youssef (UMD) Broadcast Channels with Confidential Messages
12/6 Richard Hyong-Jun La (UMD) On the Scalability of Cooperative Time Synchronization
in Pulse-connected Networks
12/13 Vladimir Blinovsky (Universität Bielefeld) About Convexity of
One Function from Coding Theory
2/14
University closed because of snow
2/21
Arya Mazumdar (UMD), Interleavers in Parallel
Turbo Codes (Part 2)
2/28
Punarbasu Purkayastha (UMD), Bounds on codes in the
NRT-metric space
3/7
Wei Kang (UMD), A new data processing
inequality and its applications in multi-user information theory (Part1)
3/14; 3/21,
no seminars
3/28
Wei Kang (UMD), A new data processing
inequality and its applications in multi-user information theory (Part2)
4/04
Ravi Tandon (UMD), Dependence balance bounds
for single-output two-way channels
4/11
Nan Liu (UMD), Sending a Bi-Variate Gaussian Source over a Gaussian MAC
4/25
Prasanth Anthapadmanabhan (UMD), A Strong Converse for the "Decode-one" Multiple-Access Channel
5/02
Guang Han (UMD), Threshold of Monotone Property
5/09
Jun Chen (IBM), On the Duality Between Slepian-Wolf Coding and Channel Coding
9/20 Prakash Narayan (UMD), Slepian-Wolf
Data Compression and Linear Channel Codes
Language Modeling
(and the Johnson Bound) in Poynomial Time
Programming Decoding
Fall 2005
11/14 Shabnam
Shafiee (UMD), Compression of encrypted data
Ahmed Ibrahim (UMD), Duality Between
Source Coding and Channel Coding and its Extension to the Side Information Case
(last meeting for this semester)
2/9 Adrian Papamarcou (UMD),
Writing on Dirty Paper: A Geometrical Approach
2/16 Jon Feldman (Columbia U.), Linear programming
decoding
2/23 No seminar (to avoid conflict with the talk on quantum information
science, 3:30pm, CSIC 1115)
3/2 AVW2460, 3:00-4:00 (Note an unusual room) (Joint with CSPL seminar)
Olgica Milenkovic (U. Colorado, Boulder), Constrained
and Error-Control Coding for DNA Computers
3/9 Damianos Karakos (Johns Hopkins), An
Introduction to Decision Trees
3/16 No seminar (CISS Conference, JHU)
3/23 Spring break
4/1 Tom Richardson (Flarion Technologies),
Design and Modeling Issues for Mobile Wireless Data: An introduction to Flash
OFDM (CSHCN Colloquium)
4/6 Alexander Barg (UMD), Quantum
Codes: An Introduction
4/27 Prakash Narayan (UMD), The Minimum Description
Length (MDL) Principle (Reference [1] in pdf)
12/15 Prof.
Prakash Narayan (UMD), Throughput-Delay Trade-off in Wireless Networks
References:
A. El Gamal, J. Mammen, B. Prabhakar and D. Shah, Throughput-Delay Trade-off
in Wireless Networks, in IEEE INFOCOM, Hong Kong, 2004.(Best Paper Award)
12/08 Alkan Soysal (UMD), Network Coding
References:
a. R. Ahlswede, N. Cai, S.-Y. R. Li and R. W. Yeung, "Network information
flow," IEEE Trans. on Information Theory, vol. 46, pp. 1204-1216, 2000.
b. S.-Y. R. Li, R. W. Yeung, and N. Cai. "Linear network coding".
IEEE Transactions on Information Theory , Februray, 2003.
11/17 Prof. Min Wu and Shan
He (UMD), Joint Coding and Embedding Techniques for Multimedia Fingerprinting
Abstract:
Digital fingerprinting is an emerging technology to protect multimedia
content from illegal redistribution by uniquely marking copies of the content
distributed to each user. Collusion is a powerful attack whereby several differently
fingerprinted copies of the same content are combined together to attenuate
or even remove the embedded fingerprints. One of the main categories of collusion
resistant fingerprinting techniques is coded fingerprinting, which uses compact
codes to represent users. Many existing works in this area focus on the code
layer and usually do not evaluate the overall performance with the embedding
layer.
In this talk, we first review the techniques of robust data embedding, which
serves as a basis for putting digital fingerprints (both non-coded and coded)
into multimedia signals. From multimedia signal processing perspective, assigning
and embedding mutually orthogonal signals as fingerprints to represent each
of the users is a natural way to perform fingerprinting. Using this well-studied
orthogonal fingerprinting as a baseline, we examine the overall performance
of the error correcting code (ECC) based fingerprinting, including both the
coding and embedding layers. The results suggest that when compared to the non-coded
orthogonal approach for the same number of users and the same host signal length,
the ECC fingerprinting has computational advantage and supports efficient distribution,
but has in general a lower collusion resistance by one order of magnitude. We
also observe very different resistance of ECC fingerprints against averaging
and interleaving types of collusion. These observations have motivated us to
propose two new techniques to improve the collusion resistance of coded fingerprinting
while retaining its advantages. The improvement is benefited from the joint
consideration of the coding and embedding layers, and is validated by the experimental
results on both synthetic data and real images.
11/03 Onur Kaya and Nan Liu (UMD), Diversity-Multiplexing Tradeoff (Contd...)
10/27 Onur Kaya and Nan Liu (UMD), Diversity-Multiplexing Tradeoff
References:
[1] L. Zheng and D. Tse, "Diversity and Multiplexing: A Fundamental Tradeoff
in Multiple Antenna Channels'', IEEE Transactions on Information Theory, vol.
49(5), May 2003.2
[2] D. Tse, P. Viswanath and L. Zheng, "Diversity-Multiplexing Tradeoff
in Multiple Access Channels" , to appear in the Transactions on Information
Theory. (Revised: March 2004).
[3] H. El Gamal, G. Caire, M. Oussama Damen, "Lattice Coding and Decoding
Achieve the Optimal Diversity-Multiplexing Tradeoff of MIMO Channels",
IEEE Transactions on Information Theory 50(6): 968-985 (2004)
10/20 J. Justesen (TU Denmark), Decoding more errors in Reed Solomon codes
10/12 No seminar