Haim Permuter's HomepageTeaching Reseach Interstets Publication Links Bio
312 in Building
Information theory, wireless communication systems, cognitive radio, network coding, channel with side information, coordination and source coding, Markov decision processes, optimization, statistical signal processing.
H. Permuter, S. Shamai, and A. Somekh-Baruch, “Message and state cooperation in multiple access channels,” IEEE Trans. Info. Theory Vol. 57, pp 6379-6396, Oct 2011.[Slides]
Access Channel with Partial and Controlled Cribbing Encoders,” IEEE Trans. Info. Theory
Vol. 59, pp 2252-2266 ,
T. Kopetz , H. Permuter and S. Shamai, “Multiple Access Channels with Combined Cooperation and Partial Cribbing,” Submitted to IEEE Trans. Info. Theory
L. Dikstein , H. Permuter and Y. Steinberg, “On State Dependent Broadcast Channels with Cooperation,” Submitted to IEEE Trans. Info. Theory
Z. Goldfeld , H. Permuter and G. Kramer, “Semi-Deterministic Broadcast Channels with Cooperation and a Dual Source Coding Problem,” Submitted to IEEE Trans. Info. Theory
M. Lvov and H. Permuter, “Initialization Algorithms For Convolutional Network Coding,” Submitted to IEEE Trans. Info. Theory [Slides]
Dealyed state information
U. Basher, A. Shirazi and H. Permuter, “Capacity Region of Finite State Multiple-Access Channel with Delayed State Information at the Transmitters” IEEE Trans. Info. Theory Vol. 58, pp 189-206, 2012. [Slides]
O. Simeone and H. Permuter “Source Coding When the Side Information May Be Delayed” IEEE Trans. Info. Theory Vol. 59, pp 3607-3618 , Feb 2013.Z. Goldfeld, H. Permuter and B. Zaidel, “The Finite State MAC with Cooperative
Finite State Channels, Possibly with Feedback:
H. Permuter, P. Cuff, B. Van Roy, and T. Weissman, “Capacity of the Trapdoor Channel with Feedback,” IEEE Trans. Info. Theory, July 2008 [Slides]
H. Permuter, T. Weissman and A. Goldsmith, “Finite state channels with time-invariant deterministic feedback,” IEEE Trans. Info. Theory, Feb 2009. [Slides]
Region of the Finite-State Multiple Access Channel with and without
Info. Theory, June 2009
L. Zhao and H. Permuter “Zero-error feedback capacity via dynamic programming,” IEEE Trans. Info. Theory. Vol. 56, June 2010. [Slides]
J. Chen, H. Permuter, and T. Weissman, “Tighter Bounds on the Capacity of Finite-State Channels via Markov Set-Chains,” IEEE Trans. Info. Theory. Vol. 56, pp 3660 - 3691, Aug. 2010
O. Elischo and H. Permuter “Capacity and coding for the Ising Channel with Feedback,” IEEE Trans. Info. Theory Vol. 60, pp 5138-5149 , Sep 2014. [Slides]
H. Permuter, H. Asnani and T. Weissman, “Capacity of a POST Channel with and without Feedback, ”IEEE Trans. Info. Theory Vol. 60, pp 6067 , Oct 2014. [Slides]
Chen, L. Zhao, P. Cuff,
the Role of the Reﬁnement Layer in Multiple Description Coding and
Scalable Coding” IEEE Trans. Info. Theory, Vol.
57, pp 1443 - 1456, March 2011 [Slides]
Y.K. Chia, H. Permuter and T. Weissman,
Triangular and Two Way Source Coding with
degraded side information at the second user” IEEE Trans. Info. Theory, Vol. 58, pp 189 -206, Jan 2012
I. Naiss and H. Permuter, “Computable Bounds for Rate Distortion with Feed-Forward for Stationary and Ergodic Sources” IEEE Trans. Info. Theory, Vol. 59, pp 760 -781, 2013.
T. Weissman and H. Permuter , “Source Coding with a Side Information “Vending Machine” ” IEEE Trans. Info. Theory
Vol. 57, pp 4530-4544, 2011
L. Dikstein, H. Permuter and , S. Shamai,, “MAC with Action-Dependent State Information at One Encoder”
submitted to IEEE Trans. Info. Theory. [Slides]
O. Sabag, H. Permuter and A. Cohen, “Lossless Coding of Correlated Sources with Action,” Submitted to IEEE Trans. Info. Theory
Source coding with
H. Asnani, H. Permuter and T. Weissman, “Successive Refinement with Decoder Cooperation and its Channel Coding Duals” accepted to IEEE Trans. Info. Theory.
Relation between Statistical
Physics and Information Theorey
D. A. Vinkler, H. Permuter and N. Merhav, “Analogy Between Gambling and Measurement-Based Work Extraction” submitted to IEEE Trans. Info. Theory. [Slides]
and signal processing:
H. Permuter and J.M. Francos , “Estimating the orientation of planar Surfaces: Algorithms and Bounds.” IEEE Trans. Info. Theory, vol. 46 pp. 1908-1920, August 2000.
and H. Permuter, “Parametric
Estimation of Orientation of Textured Planar Surfaces,”
IEEE Trans. Image Process., vol. 10, pp. 403-418,
March 2001. [ Slides]
H. Permuter, J.M. Francos and I. Jermyn “A study of Gaussian mixture models of color and texture features for image classification and segmentation,” Pattern Recognition vol. 39, pp. 695-706, February 2006. (Conf. version)
FME-IT package for Mat-Lab: Fourier-Motzkin elimination (FME) algorithm for information theoretic inequalities. This package combines the FME procedure together with an information theoretic inequality prover (ITIP). It was written by primarily by Ido B. Gattegno.
Blahut-Arimoto Algorithm for optimizing the the directed information: we provide algorithm based on Blahut-Arimoto for maxmizing the dircted information for computing channel capacity with feedback and and minimizng the directed information for computing the rate distorstion with feedforward. this code was written in c by Iddo Naiss.
Haim Permuter received his B.Sc. (summa cum laude) from Ben-Gurion University (BGU) and Ph.D. from Stanford University, both in in Electrical Engineering, in 1997 and 2008, respectively. Between 1997-2004, he served as a scientific research officer in an R&D unit in the Israeli Defense Forces. In summer 2002 he worked for IBM, Almaden research center. He is a recipient of several rewards including Eshkol Fellowship, Wolf Award, Fulbright Fellowship, Stanford Graduate Fellowship, and Allon Fellowship. Haim joined the faculty of Electrical Engineering Department at BGU in Oct 2008, and is now an associate proffesor.