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- Toward a New Approach to Distributed Information Processing: Harnessing Group Structure
- Lattices for Distributed Source Coding: Jointly Gaussian Sources and
- On the Duality between Distributed Source Coding and Data Hiding # Jim Chou S. Sandeep Pradhan Kannan Ramchandran
- On ratedistortion function of Gaussian sources with memory in the presence of side information at the
- ISIT 2002, Lausanne, Switzerland, June 30 { July 5, 2002 A characterization of functional duality between source and channel
- nChannel Multiple Descriptions: Theory and Constructions Rohit Puri*, S. Sandeep Pradhan+ and Kannan Ramchandran*,
- Transform Coding of Densely Sampled Gaussian Data
- ISIT2000,Sorrento,Italy,June25--30,2000 Geometric Proof of RateDistortion Function of Gaussian Sources
- arXiv:1010.1303v1[cs.IT]7Oct2010 Error Exponent for Multiple-Access Channels
- 2000ConferenceonInformationSciencesandSystems,PrincetonUniversity,March1517,2000 Grouptheoretic construction and analysis of generalized coset codes
- Directed Information for Communication Problems with Common Side Information and Delayed Feedback/Feedforward
- On Rate-constrained Estimation in Unreliable Sensor Networks ?
- On Large Deviation Analysis of Sampling from Typical Sets Dinesh Krithivasan and S. Sandeep Pradhan
- arXiv:0901.1892v3[cs.IT]15Dec2010 A New Achievable Rate Region for the Multiple Access Channel
- arXiv:0901.1892v1[cs.IT]13Jan2009 A New Achievable Rate Region for the Discrete
- A new lower bound on the maximal error probability for discrete memoryless multiple-access
- Diversity Gain Region for MIMO Fading Multiple Access Channels
- An Achievable Rate Region for the Broadcast Channel with Ramji Venkataramanan
- 2005 Conference on Information Sciences and Systems, The Johns Hopkins University, March 1618, 2005 Transmission of Correlated Messages over the Broadcast Channel
- Error Exponent Region for Gaussian Broadcast Lihua Weng, S. Sandeep Pradhan, and Achilleas Anastasopoulos
- Multiple Descriptions with Feed-forward: A Single-letter Achievable Rate Region.
- Source coding with feedforward: Gaussian sources S. Sandeep Pradhan1
- On Large Deviation Analysis of Sampling from Typical D.Krithivasan and S.S.Pradhan
- An Information-Theoretic Study of Communication Problems with Feedback and/or
- Information-Theoretic Results on Communication Problems with Feed-forward and Feedback
- ISIT 2002, Lausanne, Switzerland, June 30 { July 5, 2002 n-Channel Symmetric Multiple Descriptions: New Rate Regions
- Distributed Source Coding: Foundations, Constructions and Applications
- On the Achievable Rates of Sources having a Group Alphabet in a Distributed Source Coding
- New Achievable Rates for the Multiple-Access Channel with Feedback
- Diversity Gain Regions for MIMO Fading Broadcast and Multiple Access Channels
- ITW2004, San Antonio, Texas, October 24 29, 2004 Diversity Gain Region for MIMO Fading Broadcast Channels
- Toward a New Approach to Distributed Source Coding: Harnessing Group Structure
- Distributed source coding: Symmetric rates and applications to sensor networks. y
- arXiv:0808.2659v1[cs.IT]19Aug2008 Distributed Source Coding using Abelian Group Codes
- Turbo and TrellisBased Constructions for Source Coding with Side Information + .
- An Achievable Rate Region for Distributed Source Coding with Reconstruction of an Arbitrary Function of the Sources
- Error Exponent Region for Gaussian Multiple Access Channels Lihua Weng, Achilleas Anastasopoulos, and S. Sandeep Pradhan
- Enhancing analog image transmission systems using digital side information: a new waveletbased image coding
- 2001 Conference on Information Sciences and Systems, The Johns Hopkins University, March 21--23, 2001 (n; k) SourceChannel Erasure Codes: Can Parity
- Typicality Graphs and Their Properties Ali Nazari, Dinesh Krithivasan, S. Sandeep Pradhan, Achilleas Anastasopoulos
- Algebraic Structures for Multi-Terminal Communications Dinesh Krithivasan
- Achievable Rates for the Broadcast Channel with Ramji Venkataramanan
- On Evaluating the Rate-Distortion Function of Sources with Feed-Forward and the Capacity of
- Distributed Source Coding Using Syndromes (DISCUS): Design and Construction y .
- ITW2002, Bangalore, India Oct. 20-25, 2002 On functional duality in MIMO source and channel coding problems
- Centralized and Distributed Lossy Source Coding of Densely Sampled Gaussian Data, with and without
- AN UPPER BOUND TO THE RATE OF IDEAL DISTRIBUTED LOSSY SOURCE CODING OF DENSELY SAMPLED DATA
- A Relay-Assisted Distributed Source Coding Prakash Ishwar
- Distributed Source Coding using Abelian Group Codes: Extracting Performance from Structure
- Representation of Correlated Sources into Graphs for Transmission over Broadcast Channels
- On the Capacity of Abelian Group Codes Over Discrete Memoryless Channels
