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Analog-to-digital conversion and model based engineering
Author(s): Patrick Jungwirth; David Evans
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Paper Abstract

Pervasive and ubiquitous computing is now universal. We now have intelligent and interconnected kitchens. Cars are interconnected networks on wheels. Smart highways will be here before the flying car. In the near future, the Internet-of- Things (IoT) will provide inter-connectivity for all things electronic. In 1971, the first 4 bit microprocessor was introduced. Nearly 50 years later, the microprocessor is driving global, world-wide connectivity to everything. More fundamental than pervasive and ubiquitous computing is the underlying technology of digital communications. Shannon proved in 1948, that digital communications provide for an arbitrarily small number of errors regardless of the distance between sender and receiver. Once data is in a digital form, it can be transmitted or copied an arbitrarily large number of times without error. Digital is a universal language which can transmit and store information for millennia to come. Digital is defined as quantized, discrete time. In this paper, we review sampling theory to convert analog to discrete time and discrete time to digital. We will illustrate the importance of understanding analog-to-digital conversion for model based engineering.

Paper Details

Date Published: 30 April 2019
PDF: 12 pages
Proc. SPIE 11015, Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2018, 110150K (30 April 2019); doi: 10.1117/12.2513222
Show Author Affiliations
Patrick Jungwirth, U.S. Army Research Lab. (United States)
David Evans, Missile Defense Agency (United States)


Published in SPIE Proceedings Vol. 11015:
Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2018
Raja Suresh, Editor(s)

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