Graph model-based approach to the representation, interpretation, and execution of signal processing systems

✍ Scribed by J. Sztipanovits; G. Karsai; C. Biegl

• Publisher: John Wiley and Sons
• Year: 1988
• Tongue: English
• Weight: 636 KB
• Volume: 3
• Category: Article
• ISSN: 0884-8173
• DOI: 10.1002/int.4550030306

✦ Synopsis

In a large class of intelligent machines, one of the tasks of the knowledge-based system components is to corlfigure real-time signal processing systems. These systems implement low-level sensory or control algorithms according to the model of the system to be observed or controlled. If a change in the state of the model is detected, or the goal of the operation is modified, the real-time signal processing schemes have to be dynamically restructured. This article describes a system which has been developed for the knowledge-based generation and restructuring of real-time signal processing systems in paraliel computing environments. The system is based on the integration of a hierarchical representation technique, the corresponding interpretation method, and an execution environment, which includes a graph model of computations.