Analog-to-digital conversion and model based engineering

Patrick Jungwirth; David Evans

doi:10.1117/12.2513222

30 April 2019 Analog-to-digital conversion and model based engineering

Patrick Jungwirth, David Evans

Proceedings Volume 11015, Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2019; 110150K (2019) https://doi.org/10.1117/12.2513222
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

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.

Citation Download Citation

Patrick Jungwirth and David Evans "Analog-to-digital conversion and model based engineering", Proc. SPIE 11015, Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2019, 110150K (30 April 2019); https://doi.org/10.1117/12.2513222

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KEYWORDS

Systems modeling

Signal to noise ratio

Analog electronics

Intermodulation

Systems engineering

Distortion

Quantization

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