Design of Self Calibrating and Error Resilient Mixed-Signal Systems for Signal Processing, Communications and Control

Many different synthetic neuron implementations exist, that include a variety of traits associated with biological neurons and our understanding of them. An important motivation behind the studies, modelling and implementations of different synthetic neurons, is that nature has provided the most efficient ways of doing important types of computations, that we are trying to mimick. Whether it is Artificial Neural Networks (ANNs) or other mixed signal systems, technology has always evolved in the direction of lower energy per unit computation ( Mead, 1990 ). Simple Neuron models as threshold elements, or perceptrons, are promising candidates for implementing future signal processing systems, including CMOS and SET ( Schmid & Leblebici, 2003 ), ( Beiu & Ibrahim, 2007 ). In this article a small number of published subthreshold, ultra low power, perceptrons / threshold elements are compared regarding power consumption, operational speed and defect tolerance. The “mirrored” gate operating in subthreshold and combined with redundancy, might be an interesting candidate for implementing artificial neural networks as well as other mixed-signal processing circuitry. Previously unpublished results demonstrate the mirrored gate producing appropriate binary outputs at 180 mV supply voltage, even when a transistor was cut off the supply voltage, for a redundancy factor of 2, using shorted outputs, as in ( Aunet & Hartmann, 2003 ).

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Digital signal processing for data converters in mixed-signal systems

e & i Elektrotechnik und Informationstechnik ◽

10.1007/s00502-009-0689-2 ◽

2009 ◽

Vol 126 (11) ◽

pp. 390-395 ◽

Cited By ~ 2

Author(s):

Ch. Vogel ◽

St. Mendel ◽

P. Singerl ◽

F. Dielacher

Keyword(s):

Signal Processing ◽

Digital Signal Processing ◽

Digital Signal ◽

Data Converters ◽

Mixed Signal ◽

Signal Systems

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Rapid prototyping of algorithmic A/D converters based on FPAA devices

Bulletin of the Polish Academy of Sciences Technical Sciences ◽

10.2478/bpasts-2013-0073 ◽

2013 ◽

Vol 61 (3) ◽

pp. 691-696 ◽

Cited By ~ 4

Author(s):

R. Suszynski ◽

K. Wawryn

Keyword(s):

Rapid Prototyping ◽

Sinusoidal Signal ◽

Digital Converter ◽

Mixed Signal ◽

Analog Digital Converter ◽

Signal Systems ◽

Programmable Analog ◽

Field Programmable ◽

Field Programmable Analog Array

Abstract A rapid prototyping method for designing mixed signal systems has been presented in the paper. The method is based on implementation of the field programmable analog array (FPAA) to configure and reconfigure mixed signal systems. A serial algorithmic analog digital converter has been used as an example. Three converter architectures have been selected and implemented FPAA device. To verify and illustrate converters operation and prototyping capabilities, implemented converters have been excited by a sinusoidal signal. Analog sinusoidal excitations, digital responses and sinusoidal waveforms after reconstruction are presented.

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