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Towards a Standard Mixed-Signal Parallel Processing Architecture for Miniature and Microrobotics

Published

Author(s)

Brian M. Sadler, Sebastian Hoyos

Abstract

The conventional analog-to-digital conversion (ADC) and digital signal processing (DSP) architecture has led to major advances in miniature and micro-systems technology over the past several decades. The outlook for these devices is significantly enhanced by advances in sensing, signal processing, communications and control, and the combination of these technologies enables autonomous robotics on the miniature to micro scales. In this article we look at trends in the combination of analog and digital (mixed-signal) processing, and consider a generalized sampling architecture. Employing a parallel analog basis expansion of the input signal, this scalable approach is adaptable and reconfigurable, and is suitable for a large variety of current and future applications in networking, perception, cognition, and control.
Citation
Journal of Research (NIST JRES) - 119.020
Report Number
119.020

Keywords

Mixed-signal processing, analog-to-digital conversion, signal processing, robotics, communications, control, sensing, mixed- signal architecture, perception

Citation

Sadler, B. and Hoyos, S. (2014), Towards a Standard Mixed-Signal Parallel Processing Architecture for Miniature and Microrobotics, Journal of Research (NIST JRES), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/jres.119.020 (Accessed June 12, 2024)

Issues

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Created September 18, 2014, Updated November 10, 2018