• DocumentCode
    931102
  • Title

    The multigraph and structural adaptivity

  • Author

    Sztipanovits, Janos ; Wilkes, D. Mitchell ; Karsai, Gabor ; Biegl, Csaba ; Lynd, Lester E., Jr.

  • Author_Institution
    Dept. of Electr. Eng., Vanderbilt Univ., Nashville, TN, USA
  • Volume
    41
  • Issue
    8
  • fYear
    1993
  • fDate
    8/1/1993 12:00:00 AM
  • Firstpage
    2695
  • Lastpage
    2716
  • Abstract
    Structurally adaptive and dynamically reconfigurable systems are presented as important ingredients in the design and development of robust large-scale signal processing systems for operation in complex nonstationary environments. The multigraph programming and execution environment (MPEE) simplifies the design and implementation of such systems because of its graph-based computational model, support for dynamic scheduling, multiprocessor programming capabilities, model-based approach to system design, and graphic editors. The use of MPEE is illustrated by a structurally adaptive system example that highlights both the capabilities of the MPEE and the nature of structurally adaptive and dynamically reconfigurable systems. This example, a signal extraction system, also shows how to deal with transients produced by abrupt changes in filter characteristics of filters during run-time
  • Keywords
    adaptive systems; filtering and prediction theory; graph theory; signal processing; complex nonstationary environments; dynamic scheduling; dynamically reconfigurable systems; filter characteristics; graph-based computational model; graphic editors; large-scale signal processing systems; multigraph programming and execution environment; multiprocessor programming capabilities; signal extraction system; structurally adaptive system; transients; Adaptive signal processing; Adaptive systems; Computational modeling; Dynamic programming; Dynamic scheduling; Filters; Graphics; Large-scale systems; Robustness; Signal design;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.229900
  • Filename
    229900