Title :
High-performance DSP architectures for intelligence and control applications
Author :
Radivojevic, Ivan ; Herath, Jayantha ; Gray, W. Steven
Author_Institution :
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
fDate :
6/1/1991 12:00:00 AM
Abstract :
An overview of digital signal processor (DSP) capabilities is given, and the architectural features that make them applicable to intelligent control are discussed. The impact of parallel features on numeric processing capabilities and efficient program execution is described. Input/output (I/O) and real-time features of DSPs are discussed, and examples of several control applications are given. The role of numerical computations in preprocessing vocal, visual, and written input data in real-time artificial intelligence (AI) systems is examined, and the parallels between neural and DSP computations are illustrated. A node configuration for the intelligent experiment neurocomputer (IX-n) virtual implementation of a neural network, based on a commercially available DSP chip, is proposed.<>
Keywords :
artificial intelligence; digital signal processing chips; neural nets; parallel architectures; real-time systems; DSP chip; artificial intelligence; digital signal processor; intelligent control; neural network; numeric processing; parallel architectures; real-time; Artificial intelligence; Artificial neural networks; Concurrent computing; Data preprocessing; Digital signal processing; Digital signal processing chips; Digital signal processors; Intelligent control; Intelligent networks; Real time systems;
Journal_Title :
Control Systems, IEEE
