Real-time AI application for digital signal processing

Document Type

Conference Proceeding

Publication Date

1-1-1992

Abstract

The goal to design a well-behaved real-time system is to guarantee that the execution of a task does not take longer than the specified amount of time and always output the optimal results. This work studies the application of artificial intelligence in a real-time system to meet this goal. A timeconstrained reasoning system is built into a real-time digital signal processing (DSP) task, this task evaluates the timing constraints during each execution cycle and selects an optimal path to provide the best possible results. A simulator is implemented to emulate a real-time DSP task. This simulator consists of input signal generator (sine wave, square wave, random pulses, and white noise), a digital filtering processor with a built-in knowledge-based reasoning system, a time loading/higher priority interrupt simulator, and an off-line knowledge base training/learning center. Simulation results show that within timing constraints, a real-time DSP task with AI has better performance than the one without AI.

Identifier

85067443896 (Scopus)

ISBN

[0780306325, 9780780306325]

Publication Title

Singapore International Conference on Intelligent Control and Instrumentation Proceedings

External Full Text Location

https://doi.org/10.1109/SICICI.1992.637634

First Page

772

Last Page

777

Volume

2

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