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
Link To Document :
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