SCIENTIA SINICA Informationis, Volume 47 , Issue 1 : 127-143(2017) https://doi.org/10.1360/N112015-00213

Mutual information analysis for digital circuits}{Mutual information analysis for digital circuits

More info
  • ReceivedJan 6, 2016
  • AcceptedApr 14, 2016
  • PublishedOct 25, 2016


Funded by





[1] Cover T M, Thomas J A. Elements of Information Theory. 2nd. Oxford: Wiley-Blackwell, 2006. 7-13. Google Scholar

[2] Shannon C E. A mathematical theory of communication. Bell Syst Tech J, 1948, 27: 379-423 CrossRef Google Scholar

[3] Sotiriadis P P, Tarokh V, Chandrakasan A P. Energy reduction in VLSI computation modules: an information-theoretic approach. IEEE Trans Inf Theory, 2003, 49: 790-808 CrossRef Google Scholar

[4] Amankwah A, Aldrich C. Multiresolution image registration using spatial mutual information. In: Proceedings of Oceans, Hampton Roads, 2012. 1-4. Google Scholar

[5] Rubanov N. A general framework to perform the MAX/MIN operations in parameterized statistical timing analysis using information theoretic concepts. IEEE Trans Computer-Aided Design Integrated Circ Syst, 2011, 30: 1011-1019 CrossRef Google Scholar

[6] Ivrlac M T, Nossek J A. Toward a circuit theory of communication. IEEE Trans Circ Syst I: Regular Papers, 2010, 57: 1663-1683 CrossRef Google Scholar

[7] Fan X, Tanik M M. An experiment on evolutionary design of combinational logic circuits using information theory. In: Proceedings of IEEE Southeastcon, Nashville, 2011. 379-383. Google Scholar

[8] Grover P, Goldsmith A, Sahai A, et al. Information theory meets circuit design: why capacity-approaching codes require more chip area and power. In: Proceedings of 49th Annual Allerton Conference on Communication, Control, and Computing, Monticello, 2011. 1392-1399. Google Scholar

[9] Shanbhag N R. A mathematical basis for power-reduction in digital VLSI systems. IEEE Trans Circ Syst II: Analog Digital Signal Process, 1997, 44: 935-951 CrossRef Google Scholar

[10] Hegde R, Shanbhag N R. Energy-efficiency in presence of deep submicron noise. In: Proceedings of IEEE/ACM International Conference on Computer-Aided Design, San Jose, 1998. 228-234. Google Scholar

[11] Wang L, Shanbhag N R. Energy-efficiency bounds for deep submicron VLSI systems in the presence of noise. IEEE Trans Very Large Scale Integration (VLSI) Syst, 2003, 2: 254-269. Google Scholar

[12] Aguirre A H, Coello C, Carlos A. Mutual information-based fitness functions for evolutionary circuit synthesis. In: Proceedings of Congress on Evolutionary Computation, Portland, 2004. 2: 1309-1316. Google Scholar

[13] Zhang Y, He Z Y, Guo L. A power system fault diagnosis method based on mutual-information network. In: Proceedings of Asia-Pacific Power and Energy Engineering Conference, Chengdu, 2010. 1-4. Google Scholar

[14] Kinoshita K, Ochiai H. Energy minimization of wireless sensor networks based on modulation and coding optimization under finite frame length constraint. In: Proceedings of IEEE Military Communications Conference, Orlando, 2012. 1-5. Google Scholar

[15] Nizami L. Information theory's failure in neuroscience: on the limitations of cybernetics. In: Proceedings of IEEE Conference on Norbert Wiener in the 21st Century (21CW), Boston, 2014. 1-8. Google Scholar

[16] Juan L, de K J, Kuhn L, et al. A unified information criterion for evaluating probe and test selection. In: Proceedings of International Conference on Prognostics and Health Management, Denver, 2008. 1-8. Google Scholar

[17] Li C, Elia N. Bounds on the achievable rate of noisy feedback Gaussian channels under linear feedback coding scheme. In: Proceedings of IEEE International Symposium on Information Theory (ISIT), St. Petersburg, 2011. 169-173. Google Scholar

[18] Ardestanizadeh E, Franceschetti M. Control-theoretic approach to communication with feedback. IEEE Trans Autom Control, 2012, 57: 2576-2587 CrossRef Google Scholar

[19] Eswaran K, Gastpar M. Feedback communication and control over a single channel. IEEE Trans Inf Theory, 2013, 59: 6243-6257 CrossRef Google Scholar

[20] Korkmaz P. Probabilistic CMOS (PCMOS) in the nanoelectronics regime. Dissertation for Ph.D. Degree. Atlanta: Georgia Institute of Technology, 2007. Google Scholar