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Research Group

Collaborators Research support (gratefully acknowledged) Theses Supervised
  1. A.D. Sarwate. Robust and adaptive communication under uncertain interference. PhD thesis, July 2008.
  2. K. Eswaran. Communication and Third Parties: Costs, Cues, and Confidentiality. PhD thesis, October 2009.
  3. B. Nazer. Exploiting Interference through Algebraic Structure. PhD thesis, December 2009. (Eli Jury Award)
Theses
  1. To code or not to code. Ph.D., EPFL, December 2002.
  2. On the performance of multicoset sampling in a rate-distortion sense. M. Sc., UIUC, May 1999.
  3. Feedback coding strategies for channels with memory. Diploma, ETHZ, August 1997.
Preprints
  1. G. Reeves and M. Gastpar. Fundamental Tradeoffs for Sparsity Pattern Recovery, arXiv:1006.3128v1 [cs.IT], June 2010.
  2. M. Gastpar, A. Lapidoth, and M. Wigger. When Feedback Doubles the Prelog in AWGN Networks, arXiv:1003.6082v1 [cs.IT], March 2010.
  3. G. Reeves and M. Gastpar. Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds, arXiv:1002.4458v1 [cs.IT], February 2010.
  4. B. Nazer and M. Gastpar. Compute-and-Forward: Harnessing Interference through Structured Codes, arXiv:0908.2119v2 [cs.IT], August 2009.
  5. K. Eswaran, M. Gastpar, and K. Ramchandran. Bits Through ARQs. arXiv:0806.1549v1 [cs.IT], June 2008.
  6. A. D. Sarwate and M. Gastpar, State constraints and list decoding for the AVC, arXiv:cs/0701146v3 [cs.IT], October 2009.
Journal
  1. B. Nazer and M. Gastpar. Compute-and-Forward: Harnessing Interference Through Structured Codes. IEEE Transactions on Information Theory, 57(10):6463-6486, October 2011.
  2. B. Nazer, A. Dimakis, and M. Gastpar. Local Interference Can Accelerate Gossip Algorithms. IEEE Journal of Selected Topics in Signal Processing, 5(4):876-887, August 2011.
  3. J. Goseling, M. Gastpar, J. H. Weber. Line and Lattice Networks Under Deterministic Interference Models. IEEE Transactions on Information Theory, 57(5):3080-3099, May 2011.
  4. B. Nazer and M. Gastpar. Reliable Physical Layer Network Coding. Proceedings of the IEEE, 99(3):438-460, March 2011.
  5. K. Eswaran, M. Gastpar and K. Ramchandran. Cognitive Radio Through Primary Control Feedback. IEEE Journal on Selected Areas in Communications, 29(2):384-393, February 2011.
  6. A. Amar, A. Leshem, and M. Gastpar. Recursive Implementation of the Distributed Karhunen-Loeve Transform. IEEE Transactions on Signal Processing, 58(10):5320-5330, October 2010.
  7. A. D. Sarwate and M. Gastpar. A little feedback can simplify sensor network cooperation. IEEE Journal on Selected Areas in Communications, 28(7):1159-1168, September 2010.
  8. B. Sirkeci-Mergen and M. C. Gastpar. On the Broadcast Capacity of Wireless Networks With Cooperative Relays. IEEE Transactions on Information Theory, 56(8):3847-3861, August 2010.
  9. A. D. Sarwate and M. Gastpar. Rateless Codes for AVC Models. IEEE Transactions on Information Theory, 56(7):3105-3114, July 2010. (arxiv)
  10. A. Y. Yang, M. Gastpar, R. Bajcsy, and S. S. Sastry. Distributed Sensor Perception via Sparse Representation. Proceedings of the IEEE, 98(6):1077-1088, June 2010.
  11. M. C. Gastpar, P. R. Gill, A. G. Huth, and F. E. Theunissen, Anthropic Correction of Information Estimates and Its Application to Neural Coding, IEEE Transactions on Information Theory, 56(2):890-900, February 2010.
  12. K. Eswaran, A. D. Sarwate, A. Sahai, and M. Gastpar, Zero-rate feedback can achieve the empirical capacity, IEEE Transactions on Information Theory, 56(1):25-39, January 2010. (arxiv)
  13. M. Gastpar. Uncoded transmission is exactly optimal for a simple Gaussian sensor network. IEEE Transactions on Information Theory, 54(11):5247-5251, November 2008.
  14. B. Nazer and M. Gastpar. The case for structured random codes in network capacity theorems. European Transactions on Telecommunication: Special Issue on New Directions in Information Theory, 19(4):455-474, June 2008.
  15. B. Nazer and M. Gastpar. Computation over Multiple-Access Channels. IEEE Transactions on Information Theory, 53(10):3498-3516, October 2007.
  16. M. Gastpar. On capacity under receive and spatial spectrum-sharing constraints. IEEE Transactions on Information Theory, 53(2):471-487, February 2007.
  17. M. Gastpar, P. L. Dragotti, and M. Vetterli. The distributed Karhunen-Loeve transform. IEEE Transactions on Information Theory, 52(12):5177-5196, December 2006.
  18. M. Gastpar, M. Vetterli, and P. L. Dragotti. Sensing Reality and Communicating Bits: A Dangerous Liaison. IEEE Signal Processing Magazine, 23(4):70-83, July 2006.
  19. G. Kramer, M. Gastpar, and P. Gupta. Cooperative strategies and capacity theorems for relay networks. IEEE Transactions on Information Theory, 51(9):3037-3063, September 2005.
  20. M. Gastpar and M. Vetterli. Power, spatio-temporal bandwidth, and distortion in large sensor networks. IEEE Journal on Selected Areas in Communications, 23(4):745-754, April 2005.
  21. M. Gastpar and M. Vetterli. On the capacity of large Gaussian relay networks. IEEE Transactions on Information Theory, 51(3):765-779, March 2005.
  22. M. Gastpar. The Wyner-Ziv problem with multiple sources. IEEE Transactions on Information Theory, 50(11):2762-2768, November 2004.
  23. M. Gastpar, B. Rimoldi and M. Vetterli. To code, or not to code: Lossy source-channel communication revisited. IEEE Transactions on Information Theory, 49(5):1147-1158, May 2003.
  24. Gastpar, M. C. and D. G. M. Cruickshank. Two-stage Wiener filter based cancellation receivers for DS-CDMA. Electron. Lett., 1996, 32, (9), pp. 805-806.
Book Chapters and Edited Volumes
  1. B. Sirkeci Mergen, A. Scaglione, and M. Gastpar. Cooperative Broadcast in Large-Scale Wireless Networks. In M. Uysal, Editor, Cooperative Communications for Improved Wireless Network Transmission: Framework for Virtual Antenna Array Applications, Information Science Publishing, July 2009.
  2. P. L. Dragotti and M. Gastpar, Editors. Distributed Source Coding: Theory, Algorithms and Applications. Academic Press, 2009. ISBN-13: 978-0123744852. (Amazon)
  3. K. Eswaran and M. Gastpar. Foundations of Distributed Source Coding. In P. L. Dragotti and M. Gastpar, editors, Distributed Source Coding: Theory, Algorithms, and Applications, Academic Press, 2009.
  4. M. Gastpar. Separation theorems and partial orderings for sensor network problems. In Saligrama, Venkatesh (Ed.), Networked Sensing Information and Control, Springer, 2008.
  5. M. Gastpar. Information-theoretic bounds on sensor network performance. In A. Swami, Q. Zhao, Y.-W. Hong, L. Tong, editors, Wireless Sensor Networks: Signal Processing and Communications, Wiley, 2007.
  6. M. Gastpar. Causal coding and feedback in Gaussian sensor networks. In E. Abed, editor, Advances in Control, Communication Networks, and Transportation Systems: In honor of Pravin Varaiya, Birkhauser, 2005.
  7. M. Gastpar. On source-channel communication in networks. In P. Gupta, G. Kramer, A. J. van Wijngaarden, editors, DIMACS workshop on network information theory, Piscataway, NJ, March 17-19, 2003.
  8. M. Gastpar and M. Vetterli. Source-channel communication in sensor networks. In Leonidas J. Guibas and Feng Zhao, editors, 2nd International Workshop on Information Processing in Sensor Networks (IPSN'03), Palo Alto, CA. Lecture Notes in Computer Science vol. 2634, Springer: New York, April 2003, p. 162-177.
Conference
  1. K. So, K. Ganguly, M. Gastpar, J. M. Carmena, Redundant Information Encoding in Primary Motor Cortex During Motor Tasks. In Proceedings of the 5th International IEEE EMBS Conference on Neural Engineering, Cancun, Mexico, April 27-May 1, 2011.
  2. K. So, K. Ganguly, M. Gastpar, J. M. Carmena, Functional connectivity in the primary motor cortex during motor tasks. In Proceedings of the 8th Computational and Systems Neuroscience Meeting (CySyNe), Salt Lake City, UT, February 2011.
  3. J. Zhan, B. Nazer, O. Ordentlich, U. Erez, and M. Gastpar, Integer-Forcing Architectures for MIMO: Distributed Implementation and SIC, Proceedings of the 44th Annual IEEE Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, October 2010.
  4. J. Zhan, B. Nazer, U. Erez, and M. Gastpar, Integer-Forcing Linear Receivers: A New Low-Complexity MIMO Architecture, Proceedings of the IEEE Vehicular Technology Conference (VTC 2010-Fall), Ottawa, Canada, September 2010.
  5. N. Goela, S. Korada, and M. Gastpar, On LP Decoding of Polar Codes. Proc 2010 IEEE Information Theory Workshop, Dublin, Ireland, August 30 - September 10, 2010.
  6. G. Reeves and M. Gastpar, ``Compressed'' Compressed Sensing. Proceedings of the IEEE International Symposium on Information Theory (ISIT 2010), Austin, TX, June 2010. (arxiv version)
  7. J. Zhan, B. Nazer, M. Gastpar, and U. Erez, Integer-Forcing Linear Receivers. Proceedings of the IEEE International Symposium on Information Theory (ISIT 2010), Austin, TX, June 2010. (arxiv version)
  8. N. Milosavljevic, M. Gastpar, and K. Ramchandran, The Role of Game Theory in Key Agreement Over a Public Channel. Proceedings of the IEEE International Symposium on Information Theory (ISIT 2010), Austin, TX, June 2010.
  9. B. Nazer and M. Gastpar. On Decoding Equations with Partial Channel State Information. In 44th Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, March 2010.
  10. A. Amar, A. Leshem, and M. Gastpar. A Greedy Approach to The Distributed Karhunen-Loeve Transform. In Proc 2010 IEEE ICASSP, Dallas, TX, March 2010.
  11. B. Nazer, S.C. Draper, and M. Gastpar. Dynamic Rank Acquisition via Rateless Compute-and-Forward, Proceedings of the IEEE Information Theory Workshop (ITW 2010), Cairo, Egypt, January 2010.
  12. J. M. Carmena, R. T. Canolty, and M. C. Gastpar. Applying information theoretic measures to computation and communication in neural ensembles. In Proc. 43rd Annual IEEE Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, November 2009.
  13. G. Reeves and M. C. Gastpar. A Note on Optimal Support Recovery in Compressed Sensing. In Proc. 43rd Annual IEEE Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, November 2009.
  14. B. Nazer, M. Gastpar, S. A. Jafar, and S. Vishwanath. Interference Alignment at Finite SNR: General Message Sets. In Proc. 47th Annual Allerton Conference, Monticello, IL, Sept 30-Oct 2, 2009.
  15. B. Nazer, M. Gastpar, S. A. Jafar, and S. Vishwanath. Ergodic Interference Alignment. Proceedings of the IEEE International Symposium on Information Theory (ISIT 2009), Seoul, Korea, June 2009. Finalist for Best Student Paper Award
  16. N. Goela and M. Gastpar. Linear Compressive Networks. Proceedings of the IEEE International Symposium on Information Theory (ISIT 2009), Seoul, Korea, June 2009. Finalist for Best Student Paper Award
  17. J. Zhan and M. Gastpar. Functional Forwarding of Channel State Information. Proceedings of the IEEE International Symposium on Information Theory (ISIT 2009), Seoul, Korea, June 2009.
  18. A. D. Sarwate and M. Gastpar. Some Observations on Limited Feedback for Multiaccess Channels. Proceedings of the IEEE International Symposium on Information Theory (ISIT 2009), Seoul, Korea, June 2009.
  19. N. Milosavljevic, M. Gastpar, and K. Ramchandran. Secure Communication Using an Untrusted Relay via Sources and Channels. Proceedings of the IEEE International Symposium on Information Theory (ISIT 2009), Seoul, Korea, June 2009.
  20. J. Zhan, B. Nazer, M. Gastpar, and U. Erez. MIMO Compute-and-Forward. Proceedings of the IEEE International Symposium on Information Theory (ISIT 2009), Seoul, Korea, June 2009.
  21. B. Nazer, A. Sanderovich, M. Gastpar, and S. Shamai. Structured Superposition for Backhaul Constrained Cellular Uplink. Proceedings of the IEEE International Symposium on Information Theory (ISIT 2009), Seoul, Korea, June 2009.
  22. M. C. Gastpar, P. R. Gill, and F. E. Theunissen. Anthropic Correction of Information Estimates. In Proc. IEEE Information Theory Workshop, Volos, Greece, June 2009.
  23. G. Reeves and M. Gastpar. Sampling rates for approximate sparsity recovery. Proceedings of the 30-th Symposium on Information Theory in the Benelux, Eindhoven, The Netherlands, May 28-29, 2009.
  24. J. Goseling, M. C. Gastpar, and J. H. Weber. Transport Capacity of Wireless Networks: Benefits from Multi-Access Computation Coding. Proceedings of the 30-th Symposium on Information Theory in the Benelux, Eindhoven, The Netherlands, May 28-29, 2009.
  25. N. Goela and M. Gastpar. Distributed Karhunen-Loeve transform with nested subspaces. In Proc 2009 IEEE ICASSP, Taipei, Taiwan, April 2009.
  26. B. Nazer, A. Dimakis, and M. Gastpar. Neighborhood gossip: Concurrent averaging through local interference. In Proc 2009 IEEE ICASSP, Taipei, Taiwan, April 2009.
  27. B. Nazer and M. Gastpar. Compute-and-Forward: A Novel Strategy for Cooperative Networks. In Proceedings of the 42nd Annual IEEE Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, October 2008.
  28. K. Eswaran and M. Gastpar. On the role of feedback and interaction in networks. In Proceedings of the 42nd Annual IEEE Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, October 2008.
  29. B. Nazer and M. Gastpar. The case for structured random codes: Beyond linear models. In Proc. 46th Annual Allerton Conference on Commununication, Control and Computation, Monticello, IL, September 2008.
  30. B. Nazer, A. Dimakis, and M. Gastpar. Local Interference Can Accelerate Gossip Algorithms. In Proc. 46th Annual Allerton Conference on Commununication, Control and Computation, Monticello, IL, September 2008.
  31. B. Nazer and M. Gastpar. Compute-and-Forward: Harnessing Interference with Structured Codes. Proceedings of the IEEE International Symposium on Information Theory (ISIT 2008), Toronto, Canada, July 2008.
  32. A. Sarware and M. Gastpar. Arbitrarily dirty paper coding and applications. Proceedings of the IEEE International Symposium on Information Theory (ISIT 2008), Toronto, Canada, July 2008.
  33. K. Eswaran and M. Gastpar. Achievable Rates for Conferencing Multiway Channels. Proceedings of the 2008 Infernational Symposium on Information Theory (ISIT 2008), Toronto, Canada, July 2008.
  34. G. Reeves and M. Gastpar. Sampling Bounds for Sparse Support Recovery in the Presence of Noise. Proceedings of the IEEE International Symposium on Information Theory (ISIT 2008), Toronto, Canada, July 2008.
  35. M. Wigger and M. Gastpar. The pre-log of Gaussian broadcast with feedback can be two. Proceedings of the IEEE International Symposium on Information Theory (ISIT 2008), Toronto, Canada, July 2008.
  36. B. Nazer and M. Gastpar. Compute-and-Forward: Error-Correcting Codes for Wireless Network Coding on the Physical Layer. In First IEEE International Workshop on Wireless Network Coding (WiNC 2008), San Francisco, CA, June 16, 2008.
  37. A. Sarwate and M. Gastpar. Adversarial interference models for multiantenna cooperative systems. In 42nd Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, March 2008.
  38. B. Nazer and M. Gastpar. Structured random codes and sensor network coding theorems. In Proc. 2008 International Zurich Seminar on Communications, Zurich, Switzerland, March 12-14, 2008.
  39. M. Gastpar and M. Wigger. The pre-log of Gaussian broadcast with feedback can be two. Proc. 2008 Information Theory and Applications Workshop, San Diego, CA, USA, January 28 - February 1, 2008.
  40. M. Gastpar. Separation theorems and partial orderings for sensor network problems. In Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 4-7, 2007.
  41. B. Sirkeci Mergen and M. Gastpar. The scaling of the broadcast capacity of extended wireless networks with cooperative relays. In Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 4-7, 2007.
  42. B. Nazer and M. Gastpar. Lattice Coding Increases Multicast Rates for Gaussian Multiple-Access Networks. In Proc. 45th Annual Allerton Conference on Commununication, Control and Computation, Monticello, IL, September 2007.
  43. B. Nazer and M. Gastpar. The case for structured random codes in network communication theorems. IEEE Information Theory Workshop, Lake Tahoe, CA, September 2-7, 2007.
  44. A. D. Sarwate and M. Gastpar. Rateless coding with partial CSI at the decoder. IEEE Information Theory Workshop, Lake Tahoe, CA, September 2-7, 2007.
  45. G. Reeves and M. Gastpar. Differences between observation and sampling error in sparse signal reconstruction. 2007 Statistical Signal Processing Workshop, Madison, WI, August 26-29, 2007.
  46. A. D. Sarwate, B. Nazer, and M. Gastpar. Spatial filtering in sensor networks with computation codes. 2007 Statistical Signal Processing Workshop, Madison, WI, August 26-29, 2007.
  47. A. D. Sarwate and M. Gastpar. Channels with nosy noise. 2007 IEEE International Symposium on Information Theory, Nice, France, June 25-29, 2007.
  48. A. D. Sarwate, K. Eswaran, A. Sahai, and M. Gastpar. Using zero-rate feedback on binary additive channels with individual noise sequences. 2007 IEEE International Symposium on Information Theory, Nice, France, June 25-29, 2007.
  49. K. Eswaran, M. Gastpar, and K. Ramchandran. Bits through ARQs: Spectrum Sharing with a Primary Packet System. 2007 IEEE International Symposium on Information Theory, Nice, France, June 25-29, 2007.
  50. B. A. Nazer and M. Gastpar. Computation over Gaussian Multiple-Access Channels. 2007 IEEE International Symposium on Information Theory, Nice, France, June 25-29, 2007.
  51. M. Gastpar. Uncoded transmission is exactly optimal for a simple Gaussian sensor network. In Proc. 2007 Information Theory and Applications Workshop, San Diego, CA, USA, January 29 - February 2, 2007.
  52. B. Sirkeci Mergen and M. Gastpar. On the broadcast capacity of wireless networks. In Proc. 2007 Information Theory and Applications Workshop, San Diego, CA, USA, January 29 - February 2, 2007.
  53. M. Gastpar and G. Kramer. On noisy feedback for interference channels. In Asilomar Conference on Signals, Systems, and Computers, Oct. 29-Nov. 1, 2006
  54. A.D. Sarwate and M. Gastpar. Randomization for robust communication in networks, or "Brother, can you spare a bit?", Proceedings of the 44th Annual Allerton Conference on Commununication, Control and Computation, Monticello, IL, September 2006.
  55. J. Ezri and M. Gastpar. On the performance of independently designed LDPC codes for the relay channel. In Proc 2006 IEEE ISIT, Seattle, WA, July 2006.
  56. A. D. Sarwate and M. Gastpar. Randomization bounds for Gaussian arbitrarily varying channels. In Proc 2006 IEEE ISIT, Seattle, WA, July 2006.
  57. B. A. Nazer and M. Gastpar. Computing over multiple-access channels with connections to wireless network coding. In Proc 2006 IEEE ISIT, Seattle, WA, July 2006.
  58. M. Gastpar, M. Vetterli, and P. L. Dragotti. Sensing reality and communicating bits. In Proc 2006 IEEE ICASSP, Toulouse, France, May 2006.
  59. G. Kramer and M. Gastpar. Dependence Balance and the Gaussian Multiaccess Channel with Feedback. In IEEE Information Theory Workshop, Punta del Este, Uruguay, March 2006, p.198-202.
  60. K. Eswaran and M. Gastpar. On the Significance of Binning in a Scaling-Law Sense. In IEEE Information Theory Workshop, Punta del Este, Uruguay, March 2006, p.258-262.
  61. M. Gastpar and G. Kramer. On Cooperation via Noisy Feedback. In International Zurich Seminar, Zurich, Switzerland, Feb. 2006, p.146-149.
  62. M. Gastpar. Variations on the multiple access problem. In Workshop on Information Theory and its Applications, UC San Diego, Feb. 2006.
  63. M. Gastpar. Sensor Networks under Regulatory Power Constraints. In Asilomar Conference on Signals, Systems, and Computers, Oct. 30-Nov. 2, 2005, p.195-199.
  64. B. Nazer and M. Gastpar. Reliable Computation over Multiple Access Channels. In 43rd Annual Allert on Conf. on Commun., Control and Comp., (Monticello, IL, USA), Sept. 28-30, 2005.
  65. M. Gastpar. On noisy feedback in Gaussian networks. In 43rd Annual Allerton Conf. on Commun., Control and Comp., (Monticello, IL, USA), Sept. 28-30, 2005.
  66. K. Eswaran and M. Gastpar. On the Quadratic AWGN CEO Problem and Non-Gaussian Sources. In Proc IEEE Int Symp Info Theory, Adelaide, Australia, Sept. 2005, p.219-223.
  67. A. Sahai, S. Draper, M. Gastpar. Boosting reliability over AWGN networks with average power constraints and noiseless feedback. In Proc IEEE Int Symp Info Theory, Adelaide, Australia, Sept. 2005, p.402-406.
  68. L. Grokop, A. Sahai, M. Gastpar. Discriminatory source coding for a noiseless broadcast channel. In Proc IEEE Int Symp Info Theory, Adelaide, Australia, Sept. 2005, p.77-81.
  69. M. Gastpar. A lower bound to the AWGN remote rate-distortion function. In 2005 Statistical Signal Processing Workshop, Bordeaux, France, July 2005, p.1176-1181.
  70. A. D. Sarwate and M. Gastpar. Fading observation alignment via feedback. In Proceedings of the 2005 Fourth International Symposium on Information Processing in Sensor Networks (IPSN), Los Angeles, CA, April 2005, p.317-323.
  71. A. D. Sarwate and M. Gastpar. Estimation from misaligned observations with limited feedback. In Proceedings of the 39th Conference on Information Sciences and Systems, Baltimore, MD, March 16-18, 2005 .
  72. K. Eswaran and M. Gastpar. Rate loss in the CEO problem. In Proceedings of the 39th Conference on Information Sciences and Systems, Baltimore, MD, March 16-18, 2005.
  73. M. Gastpar. Gaussian multiple-access channels under received-power constraints. In 2004 IEEE Information Theory Workshop, San Antonio, TX, Oct. 24-29, 2004.
  74. M. Gastpar. On capacity under received-signal constraints. In 42nd Annual Allerton Conf. on Commun., Control and Comp., (Monticello, IL, USA), Sept. 29 - Oct. 1, 2004.
  75. M. Gastpar. Cut-set arguments for source-channel networks. In Proc IEEE Int Symp Info Theory, Chicago, IL, June 2004.
  76. M. Gastpar and M. Vetterli. A lower bound to the scaling behavior of sensor networks. In Proc IEEE Int Symp Info Theory, Chicago, IL, June 2004.
  77. M. Gastpar. Distributed source-channel coding for wireless sensor networks. In Proc IEEE Int Conf Acoust Speech Sig Proc, Montreal, Canada, May 2004.
  78. M. Gastpar, P. L. Dragotti and M. Vetterli. On compression using the distributed Karhunen-Loeve transform. In Proc IEEE Int Conf Acoust Speech Sig Proc, Montreal, Canada, May 2004.
  79. M. Gastpar and M. Vetterli. Power-bandwidth-distortion scaling laws for sensor networks. In Proc. Third Int Symp Info Proc in Sensor Networks, Berkeley, CA, April 26-27, 2004.
  80. M. Gastpar. On remote sources and channels with feedback. In 38th Annual Conference on Information Sciences and Systems (CISS) 2004, Princeton, NJ, March 17-19, 2004.
  81. G. Kramer, M. Gastpar, P. Gupta. Information-theoretic multi-hopping for relay networks. 2004 International Zurich Seminar, Zurich, Switzerland, Feb 18-20, 2004.
  82. M. Gastpar. On the role of feedback in large sensor networks. In 2004 International Zurich Seminar, Zurich, Switzerland, Feb 18-20, 2004.
  83. M. Gastpar. On Wyner-Ziv networks. In 37th Asilomar Conference on Signals, Systems, and Computers, Nov. 9-12, 2003.
  84. M. Gastpar and M. Vetterli. Scaling laws for homogeneous sensor networks. In 41st Annual Allerton Conf. on Commun., Control and Comp., (Monticello, IL, USA), Oct. 1-3, 2003.
  85. G. Kramer, M. Gastpar, and P. Gupta. Capacity theorems for wireless relay channels. In 41st Annual Allerton Conf. on Commun., Control and Comp., (Monticello, IL, USA), Oct. 1-3, 2003.
  86. M. Gastpar. On the Wyner-Ziv problem with two sources. In Proc IEEE Int Symp Info Theory 2003, Yokohama, Japan, July 2003.
  87. M. Gastpar and B. Rimoldi. Source-channel communication with feedback. In 2003 IEEE Information Theory Workshop, Paris, France, April 2003. Invited paper.
  88. M. Gastpar, P. L. Dragotti, and M. Vetterli. The distributed, partial and conditional Karhunen-Loeve transforms. In Proc 2003 IEEE Data Compression Conference, March 2003.
  89. M. Gastpar, P. L. Dragotti, and M. Vetterli. The distributed Karhunen-Loeve transform. In Proc 2002 IEEE International Workshop on Multimedia Signal Processing, December 2002.
  90. M. Gastpar, G. Kramer and P. Gupta. The multiple-relay channel: Coding and antenna-clustering capacity. In Proc IEEE Int Symp Info Theory 2002, Lausanne, Switzerland, July 2002.
  91. M. Gastpar and M. Vetterli. On the asymptotic capacity of Gaussian relay networks. In Proc IEEE Int Symp Info Theory 2002, Lausanne, Switzerland, July 2002.
  92. M. Gastpar and M. Vetterli. On the capacity of wireless networks: The relay case. In Proc IEEE Infocom 2002, New York, June 2002.
  93. M. Gastpar, B. Rimoldi and M. Vetterli. On source/channel codes of finite block length. In Proc IEEE Int Symp Info Theory 2001, Washington DC, June 2001.
  94. M. Gastpar and Y. Bresler. On the necessary density for spectrum-blind nonuniform sampling subject to quantization. In Proc IEEE Int Conf Acoust Speech Sig Proc, vol. 1, Istanbul, Turkey, June 2000, pp. 348-351.
  95. M. Gastpar, B. Rimoldi and M. Vetterli. To code or not to code. In Proc IEEE Int Symp Info Theory, Sorrento, Italy, June 2000, p. 236.
  96. M. Gastpar and Y. Bresler. On the necessary density for spectrum-blind nonuniform sampling. In Proc IEEE Int Symp Info Theory, Sorrento, Italy, June 2000, p. 445. Corrected version.
  97. Y. Bresler, M. Gastpar and R. Venkataramani. Image compression on-the-fly by universal sampling in Fourier imaging systems. In Proc 1999 IEEE Information Theory Workshop on Detection, Estimation, Classification, and Imaging, Santa-Fe, NM, Feb. 1999, p. 48.
  98. Gastpar, Michael and Gerhard Kramer. A Spectral Criterion For Feedback Coding. In Proc IEEE Int Symp Info Theory, Boston, MA, 1998, p. 126.
Technical Reports
  1. A. D. Sarwate and M. Gastpar, Deterministic list codes for state-constrained arbitrarily varying ch annels. EECS Department, University of California, Berkeley, Technical Report No. UCB/EECS-2007-6, January 8, 2007.
  2. K. Eswaran, A. D. Sarwate, A. Sahai, and M. Gastpar, Binary additive channels wi th individual noise sequences and limited active feedback. EECS Department, University of California, Berkeley, Technical Report No. UCB/EECS-2007-5, January 8, 2007.
  3. M. Gastpar, P. L. Dragotti, and M. Vetterli. The distributed Karhunen-Loeve transform. Technical Report LCAV-REPORT-2003-001, Lausanne, Switzerland, March 2003.
  4. M. Gastpar. The Wyner-Ziv problem with multiple sources. Technical Report LCAV-REPORT-2002-003, Lausanne, Switzerland, June 2002.
  5. M. Gastpar, B. Rimoldi and M. Vetterli. To code, or not to code: On the optimality of symbol-by-symbol communication. Technical Report LCAV-REPORT-2001-002, EPFL, Switzerland, May 2001.
Events
  1. Cosyne workshop on Emerging information-theoretic measures and methods in neuroscience, Feburary 22-27, 2007.
    Slides and other materials can be found here.
  2. MSRI workshop on Relaying and Cooperation in Communication Networks, April 10-12, 2006, Berkeley, CA. (Slides)
Last updated June 2008