DSP architectural features for intelligence and control applications

The architectural features of digital signal processors (DSPs) that make them applicable to intelligent control are discussed. The impact of on-chip parallel features on numeric processing capabilities and efficient program execution is described. I/O and real-time features of DSPs are examined. The role of numerical computations in preprocessing vocal, visual and written input data in real-time AI systems is considered. The parallels between neural and DSP computations are illustrated. A node configuration for a virtually implemented neural network, based on a commercially available DSP chip, is proposed.<
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