Now showing items 1-20 of 31

    • Analysis of noise reduction in redundant expansions under distributed processing requirements 

      Rozell, Chris; Johnson, Don (2005-03-01)
      We considered signal reconstruction with redundant expansions under distributed processing in noisy environments. Redundant expansions have the ability to reduce noise corrupting the coefficients, but distributed processing ...
    • Analyzing the robustness of redundant population codes in sensory and feature extraction systems 

      Rozell, Chris; Johnson, Don (2005-07-01)
      Sensorineural systems often use groups of redundant neurons to represent stimulus information both during transduction and population coding of features. This redundancy makes the system more robust to corruption in the ...
    • Asymptotic rates of the information transfer ratio 

      Sinanovic, Sinan; Johnson, Don (2002-05-20)
      Information processing is performed when a system preserves aspects of the input related to what the input represents while it removes other aspects. To describe a system's information processing capability, input and ...
    • Basics of information processing 

      Johnson, Don (2002-01-20)
      Basic probability theory, statistical signal processing and information theory, and inter-relationships among these disciplines form the foundations of a theory of information processing. Examples are drawn from point-process ...
    • Broadcast Detection Structures with Applications to Sensor Networks 

      Johnson, Don; Lexa, Michael (2006-03-01)
      Data broadcasting is potentially an effective and efficient way to share information in wireless sensor networks. Broadcasts offer energy savings over multiple, directed transmissions, and they provide a vehicle to exploit ...
    • 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 ...
    • A Different First Course in Electrical Engineering 

      Johnson, Don; Wise, J D (1998-05-20)
      Traditional introductory courses in electrical engineering are typically circuit theory courses, which may include both analog and digital hardware and possibly software. The alternatives have focused on how to teach (using ...
    • A Different First Course in Electrical Engineering 

      Johnson, Don; Wise, J D (1999-09-20)
      A Different Course in Electrical Engineering
    • The Equivalent Circuit Concept: The Current-Source Equivalent 

      Johnson, Don (2003-05-20)
      The equivalent circuit concept derives from the Superposition Principle and Ohm's Law. Two forms of the equivalent circuit, the Thevenin equivalent and the Norton equivalent, distill any linear circuit into a source and ...
    • 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 ...
    • Improving the Resolution of Bearing in Passive Sonar Arrays by Eigenvalue Analysis 

      Johnson, Don; DeGraaf, Stuart (1981-08-01)
      A method of improving the bearing-resolving capabilities of a passive array is discussed. This method is an adaptive beamforming method, having many similarities to the minimum energy approach. The evaluation of energy ...
    • An Information processing approach to distributed detection 

      Lexa, Michael; Johnson, Don (2003-09-20)
      We apply the recent theory of information processing to a hybrid distributed detection architecture that combines the traditional parallel and tandem architectures. Central to this theory is the Kullback-Leibler discrimination ...
    • Information processing during transient responses in the crayfish visual system 

      Rozell, Chris; Johnson, Don; Glantz, Raymon (2003-06-01)
      We analyzed sustaining fiber responses in the crayfish visual system to light pulses using information processing techniques. The light pulse stimuli elicited a transient and a steady-state component in the EPSP input and ...
    • Information processing of linear block decoders 

      Lexa, Michael; Johnson, Don (2002-10-20)
      This paper develops a systematic method of studying the benefits of soft decoding for linear block codes by applying the concepts of information processing. We show that soft decoding uniformly improves decoder performance ...
    • Limits of population coding 

      Johnson, Don (2003-07-20)
      To understand whether the population response expresses information better than the aggregate of the individual responses, the sum of the individual contributions is frequently used as a baseline against which to assess ...
    • Modeling wireless sensor and actuator networks using frame theory 

      Rozell, Chris; Johnson, Don (2005-11-01)
      Wireless sensor networks are often studied with the goal of removing information from the network as efficiently as possible. However, when the application also includes an actuator network, it is advantageous to determine ...
    • Neural population structures and consequences for neural coding 

      Johnson, Don (2002-09-20)
      Researchers studying neural coding have speculated that populations of neurons would more effectively represent the stimulus if the neurons "cooperated:" by interacting through lateral connections, the neurons would process ...
    • A new look at the informational gain of soft decisions 

      Lexa, Michael; Johnson, Don (2003-04-20)
      This paper develops a new systematic method of studying the benefits of 2-bit soft decisions by applying the concepts of information processing theory. We quantify performance in terms of the information transfer ratio and ...
    • New multivariate dependence measures and applications to neural ensembles 

      Goodman, Ilan; Johnson, Don (2003-09-20)
      We develop two new multivariate statistical dependence measures. The first, based on the Kullback-Leibler distance, results in a single value that indicates the general level of dependence among the random variables. The ...