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Complex    Biosignal Computing

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Applied Artificial Intelligence
a_IPUS_Blackboard

This aspect of our work is concerned with the application of artificial intelligence methods in designing signal processing techniques. Methods of interest include blackboard systems, rule-based systems, neural networks, and pattern recognition techniques.

Some Relevant Publications:

    Book:

    A. V. Oppenheim, S. H. Nawab, Editors. Symbolic and Knowledge-Based Signal Processing, Prentice Hall, 1992.

 

    Book Chapters:

    F. I. Klassner, V. R. Lesser, S. H. Nawab, The IPUS Blackboard Architecture as a Framework for Computational Auditory Scene Analysis, in Computational Auditory Scene Analysis, Editors: Rosenthal/Okuno, Lawrence Erlbaum Inc., 1998.

    S. H. Nawab, C. Y. Espy-Wilson, R. Mani, N. N. Bitar, Knowledge-Based Analysis of Speech Mixed With Sporadic Environment Sounds, in Computational Auditory Scene Analysis, Editors: Rosenthal/Okuno, Lawrence Erlbaum Inc., 1998.

     

    Journal Articles:

  • R. Mani, S. H. Nawab, Knowledge-Based Processing of Multicomponent Signals in a Musical Application, Signal Processing, Elsevier Science Publication, vol. 74, no. 1, pp. 47-69, April 1999.
  • V.R. Lesser, S.H. Nawab, F.I. Klassner, IPUS: An Architecture for the Integrated Processing and Understanding of Signals, Artificial Intelligence Journal, vol. 77, pp. 129-171, August 1995.
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  • Refereed Conference Article:
  • F. Klassner, V. Lesser, S. H.  Nawab, The Role of Data Reprocessing in Complex Acoustic Environments, Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98), pp. 997-1003, Madison, WI, July 1998.

     

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