Analog and Digital Communication, and Similar Contrasts
- First Online: 04 October 2020
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- Phillip Guddemi 6 , 7
Part of the book series: Biosemiotics ((BSEM,volume 20))
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Throughout Bateson’s thinking about communication, a certain set of distinctions recurs in several forms or approximations. These distinctions are often subsumed by the difference between so-called analog and digital, a contrast inspired by devices characteristic of the early computer age. Bateson is particularly concerned with discussing the analog forms of communication, showing how these exemplify relational communication. In this light he reframes the Freudian concept of “primary process.”
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There is some evidence that what Bateson meant by “metaphor” would have been considered by Peirce more strictly “analogy” (Anderson 1984)
See particularly “Metalogue: What is an Instinct?” in Gregory Bateson, Steps to an Ecology of Mind , Chicago, University of Chicago Press, 2000 (1972), pp. 38–58, reprinted from Thomas Sebeok, ed., Approaches to Animal Communication .
The physicist Freeman Dyson has been exploring for at least a decade the question of whether brains are analog or digital. He has the interesting opinion that the human brain is mostly analog. He also incorporates gestalt among analog functions, however he claims that even as of his online writing in 2018 it is not clear exactly how the brain represents gestalt patterns. See https://www.edge.org/conversation/freeman_dyson-the-brain-is-full-of-maps and also http://physicsdatabase.com/2014/06/03/freeman-dyson-are-brains-analogue-or-digital/ In the 2014 speech he gave at the University College, Dublin, he addresses the question of how the brain encodes visual mappings, and comes to the conclusion that although in theory this could be done either digitally or via analog means, the evidence (including how instantaneously this is done by the brain) better supports analog processing. This is the same as saying that, at least in the natural history of human brains, gestalt perception should be seen as part of the analog realm rather than the digital one.
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Guddemi, P. (2020). Analog and Digital Communication, and Similar Contrasts. In: Gregory Bateson on Relational Communication: From Octopuses to Nations. Biosemiotics, vol 20. Springer, Cham. https://doi.org/10.1007/978-3-030-52101-1_6
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Advances on Analog-to-Digital and Digital-to-Analog Converters
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A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section " Circuit and Signal Processing ".
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Dear Colleagues,
Driven by silicon foundries’ scaling efforts to enable massive distribution of integrated systems with sensing, communication and power management capabilities (i.e., the Internet-of-Things (IoTs) sensing nodes), data converters have received special attention among the most critical integrated circuit blocks owing to their link between the real-world analog environment and digital processing units.
Implementing data converters in nanoscale in CMOS technologies poses several challenges, including a dramatic drop in the available power supply headroom, inferior noise performance, ultra-low low power requirement, and challenges in designing main conventional main blocks, such as operational amplifiers and comparators.
To fully benefit from this downscaling, the above challenges need to be addressed through holistic approaches that embrace scaling-friendly CMOS process. Addressing these challenges implies redefining the way in which data converters are currently designed.
The scope of this Special Issue is to focus and report on the development of emerging techniques to design high performance analog to digital and digital to analog converts in nano-scale technologies.
Specifically, the research portfolio for this issue includes research work related to advances on Analog-to-Digital and Digital-to-Analog Converters. The topics of primary research include but are not limited to:
- Nanoscale ultra-low power analog to digital and (ADCs) and analog to digital converters DACs;
- Digital calibration techniques for data converters;
- Higher spurs free dynamic range (SFDR) DACs;
- ADC-based front-end sensors;
- Time domain techniques for ultra-low voltage and power consumption;
- Hybrid time/voltage data converters;
- High resolution sigma delta modulators.
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