Now showing items 1-6 of 6

    • Dialogue Concerning Neural Coding and Information Theory 

      Johnson, Don (2003-08-20)
      The relations between information theory and neural coding are discussed by two researchers, one knowledgeable in information theory, the other in neuroscience. The classic information-theoretic notions of entropy, mutual ...
    • Distributed Cooperative Communications in Wireless Networks 

      Khojastepour, Mohammad (2005-01-01)
      The primary challenge in communication over wireless networks, unlike wireline networks, is the existence of interference and channel variations (fading). Having more users at higher data rates means that current ...
    • Examining methods for estimating mutual information in spiking neural systems 

      Rozell, Chris; Johnson, Don (2005-06-01)
      Mutual information enjoys wide use in the computational neuroscience community for analyzing spiking neural systems. Its direct calculation is difficult because estimating the joint stimulus-response distribution requires ...
    • Four top reasons why mutual information does not assess neural information processing 

      Johnson, Don (2002-07-20)
      Mutual information between stimulus and response has been advocated as an information theoretic measure of a neural system's capability to process information. Once calculated, the result is a single number that supposedly ...
    • Half-Duplex Estimate-and-Forward Relaying:Bounds and Code Design 

      Chakrabarti, Arnab; de Baynast, Alexandre; Sabharwal, Ashutosh; Aazhang, Behnaam (2006-01-01)
      We propose a coding scheme for half-duplex estimate-and-forward relaying. Our first contribution is to present an achievable rate for the estimate-and-forward protocol. We also derive the achievable rate for the special ...
    • Measurements vs. Bits: Compressed Sensing meets Information Theory 

      Sarvotham, Shriram; Baron, Dror; Baraniuk, Richard G. (2006-09-01)
      Compressed sensing is a new framework for acquiring sparse signals based on the revelation that a small number of linear projections (measurements) of the signal contain enough information for its reconstruction. The ...