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Communication with Feedback
H. Permuter, T. Weissman, A. Goldsmith, "Finite state channels with time-invariant deterministic feedback," submitted.
H. Permuter, P. Cuff, B. Van Roy, T. Weissman, "Capacity of the Trapdoor Channel with Feedback," submitted.
N.C. Martins and T. Weissman, “Coding Schemes for Additive White Noise Channels with Feedback Corrupted by Quantization or Bounded Noise'', submitted.
Y. H. Kim, A. Lapidoth and T. Weissman, “On Error Exponents for Channels with Noisy Feedback”, Proc. 44th Annual Allerton Conf. on Communication, Control, and Computing, Monticello, IL, September 27 -- 29th, 2006.
Sequential Decision Making
T. Weissman and N. Merhav, "Universal prediction of binary individual sequences in the presence of noise," IEEE Trans. Inform. Theory, vol. IT-47, no. 6, pp. 2151-2173, September 2001.
N. Merhav and T. Weissman, "Scanning and prediction in multi-dimensional data arrays," IEEE Trans. Inform. Theory, vol. IT-49, no. 1, pp. 65-82, January 2003.
T. Weissman and N. Merhav, "On Competitive Predictability and its Relation to Rate-Distortion theory'' IEEE Trans. Inform. Theory, vol. 49, no. 12, pp. 3185-3194, December 2003.
T. Weissman and N. Merhav, "Universal prediction of random binary sequences in a noisy environment,'' Annals of Applied Probability, vol. 14, no. 1, pp. 54-89, February 2004.
V. F. Farias, C.C. Moallemi, B. Van Roy and T. Weissman, "A Universal Scheme for Learning," Int. Symp. Inf. Th. , Adelaide, Australia, September 2005.
T. Weissman, E. Ordentlich, M. Weinberger, A. Somekh-Baruch, N. Merhav, "Universal Filtering via Prediction," submitted.
T. Moon and T. Weissman, "Universal Filtering via Hidden Markov Modeling", submitted.
A. Cohen, N. Merhav and T. Weissman, "Universal scanning and sequential decision making for multidimensional data," Int. Symp. Inf. Th., Seattle, Washington, July 2006.
T. Weissman, ”How to filter an ‘individual sequence with feedback’,” submitted.
Lossless and Lossy Source Coding
T. Weissman and N. Merhav, "Tradeoffs between the excess-code-length exponent and the excess-distortion exponent in lossy source coding," IEEE Trans. Inform. Theory, vol. IT-48, no. 2, pp. 396-415, February 2002.
T. Weissman and N. Merhav, "On limited-delay lossy coding and filtering of individual sequences," IEEE Trans. Inform. Theory, vol. IT-48, no. 3, pp. 721-733, March 2002.
A. Dembo and T. Weissman, "The Minimax Distortion Redundancy in Noisy Source Coding," IEEE Trans. Inform. Theory, vol. IT-49, pp. 3020-3030, November 2003.
T. Weissman, "Universally Attainable Error-Exponents for Rate-Distortion Coding of Noisy Sources", IEEE Trans. Inform. Theory, vol. 50, no. 6, pp. 1229-1246, June 2004.
T. Weissman and E. Ordentlich, "The empirical distribution of rate-constrained codes", IEEE Trans. Inform. Theory, vol. 51, no. 11, pp. 3718-3733, Nov. 2005.
T. Weissman and N. Merhav, "On Causal Source Codes with Side Information,'' IEEE Trans. Inform. Theory, vol. 51, no. 11, pp. 4003-4013, Nov. 2005.
T. Weissman, "Not all universal source codes are pointwise universal", unpublished.
T. Weissman and A. El Gamal, "Source Coding with Limited Side Information Lookahead at the Decoder", to appear in IEEE Trans. Inform. Theory.
Joint Source-Channel Coding
E. Ordentlich, G. Seroussi, S. Verdu, K. Viswanathan, M. Weinberger and T. Weissman, "Channel Decoding of Systematically Encoded Unknown Redundant Sources," Int. Symp. Inf. Th. , p. 165, Chicago, IL, June-July 2004.
S. Matloub and T. Weissman, "Universal zero-delay joint source-channel coding", to appear in IEEE Trans. Inform. Theory.
Denoising
E. Ordentlich, G. Seroussi, S. Verdu, M. Weinberger and T. Weissman, "A universal discrete image denoiser and its application to binary images", Proc. IEEE Int. Conf. on Image Processing, p. 117-120, vol. 1, Barcelona, Catalonia, Spain, September 2003.
E. Ordentlich, M. Weinberger and T. Weissman, "Efficient Pruning of Bi-Directional Context Trees with Applications to Universal Denoising and Compression", 2004 IEEE Inf. Th. workshop, San Antonio, Texas, October 24-29, 2004.
T. Weissman, E. Ordentlich, G. Seroussi, S. Verdu and M. Weinberger, "Universal Discrete Denoising: Known Channel", IEEE Trans. Inform. Theory, vol. 51, no. 1, pp. 5-28, January 2005.
A. Dembo and T. Weissman, "Universal Denoising for the Finite-Input-General-Output Channel'', IEEE Trans. Inform. Theory, vol. 51, no. 4, pp. 1507-1517, April 2005.
E. Ordentlich and M. Weinberger and T. Weissman, "Multi-Directional Context Sets with Applications to Universal Denoising and Compression," Int. Symp. Inf. Th. , Adelaide, Australia, September 2005.
R. Zhang and T. Weissman, "Discrete Denoising for Channels with Memory", Communications in Information and Systems (CIS), vol. 5, no. 2, pp. 257-288, 2005.
E. Ordentlich and T. Weissman, "On the optimality of symbol-by-symbol filtering and denoising'', IEEE Trans. Inform. Theory, vol. 52, no. 1, pp. 19-40, Jan. 2006.
G. Gemelos, S. Sigurjonsson and T. Weissman, "Algorithms for Discrete Denoising Under Channel Uncertainty'', IEEE Trans. Signal Processing, vol. 54, no. 6, pp. 2263-2276, June 2006.
G. Gemelos, S. Sigurjonsson and T. Weissman, "Universal Minimax Discrete Denoising under Channel Uncertainty'', to appear in IEEE Trans. Inform. Theory.
S. Pereira and T. Weissman, "Denoising and Filtering Under Probability of Excess Loss Criterion.", To appear in…..
K. Sivaramakrishnan and T. Weissman, "Universal Denoising of Discrete-time Continuous-Amplitude Signals", submitted.
T. Moon and T. Weissman, "Discrete denoising with shifts", submitted.
Entropy
E. Ordentlich and T. Weissman, "Asymptotics for the entropy rate of a hidden Markov process", 2004 IEEE Inf. Th. workshop, San Antonio, Texas, October 24-29, 2004.
E. Ordentlich and T. Weissman, "Approximations for the Entropy Rate of a Hidden Markov Process," Int. Symp. Inf. Th. , Adelaide, Australia, September 2005.
C. Nair, E. Ordentlich and T. Weissman, "On asymptotic filtering and entropy rate for a hidden Markov process in the rare transitions regime," Int. Symp. Inf. Th., Adelaide, Australia, September 2005.
T. Weissman and S. Verdu, "Erasure Entropy," Int. Symp. Inf. Th., Seattle, Washington, July 2006.
G. Gemelos and T. Weissman, "On the Entropy Rate of Pattern Processes", to appear in IEEE Trans. Inform. Theory.
"On optimal filtering and entropy rate of a hidden Markov process ", Berkeley EECS dept.
"Discrete Universal Filtering (Through Incremental Parsing)", Princeton EE dept. and Wharton school Statistics dept.
"Universal Minimax Discrete Denoising under Channel Uncertainty", UCSD EECS dept.
"New Bounds on the Entropy Rate of Hidden Markov Processes", ISL Colloquium, Stanford University.
"Discrete Denoising for Channels with Memory", Stanford Statistics Seminar
"On Coding with Feedback in presence of Side Information", Bay Area Signals, Information, and Control Symposium
"Source Coding with Limited Side Information Lookahead at the Decoder", Princeton EE Dept. & at the Advanced Network Colloquium Series, University of Maryland
