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Challenges in Radio Frequency and Mixed-Signal Circuit Reliability

International Electron Devices Meeting, 2019
The reliability challenges encountered during the design of radio frequency (RF) and mixed-signal circuits are discussed. RF circuits can operate at voltages greater than twice the nominal supply voltage and thus hot-carrier and off-state aging are key ...
V. Reddy   +8 more
semanticscholar   +1 more source

Selective sampling for reliable neural signal approximation

Proceedings of International Workshop on Neural Networks for Identification, Control, Robotics and Signal/Image Processing, 2002
ANN learning poses restrictions on the learning algorithm in combination with the structure of the training set. We analyse such a restriction as originating from the long term effect on learning of so-called cancelation examples. It is pointed out that cancelation effects may creep in unnoticed leading to non-reproducible and large learning times for ...
Barakova, EI, Spaanenburg, L
openaire   +2 more sources

Reliability of BOLD signals in chronic stroke‐induced aphasia

European Journal of Neuroscience, 2020
Abstract Investigating the neurobiology of language impairment and treatment in chronic stroke aphasia using fMRI requires an understanding of measurement variability within and between participants. In this multicenter study, we evaluated the scan–rescan reliability of an auditory and visual (written) story ...
James Higgins   +9 more
openaire   +2 more sources

Signal Reliability

Encyclopedia of Evolutionary Psychological Science, 2021
B. Coppinger   +2 more
semanticscholar   +1 more source

Reliable and energy-efficient digital signal processing

Proceedings of the 39th conference on Design automation - DAC '02, 2002
This paper provides an overview of algorithmic noise-tolerance (ANT) for designing reliable and energy-efficient digital signal processing systems. Techniques such as prediction-based, error cancellation-based, and reduced precision redundancy based ANT are discussed. Average energy-savings range from 67% to 71% over conventional systems. Fluid IP core
openaire   +1 more source

Emotional Expressivity is a Reliable Signal of Surprise

IEEE Transactions on Affective Computing, 2023
Su Lei, Jonathan Gratch
openaire   +1 more source

Reliable Crossing of Signals in Asynchronous Cellular Automata

2014 Second International Symposium on Computing and Networking, 2014
The embedding of logic circuits into the cellular spaces is an essential approach for efficient computing on asynchronous cellular automata (ACAs), which usually depends critically on the design of signals. Such signals are required to propagate definitely in predefined directions, and cross other signals coming from orthogonal directions without ...
Tai-Ran He   +3 more
openaire   +1 more source

Reliability Prediction in Railway Signalling

2004
In railway signalling, reliability predictions are necessary for safety and reliability analysis and demonstration. As a result of European harmonisation, requirements have changed. In this paper the application of and modified requirements for reliability predictions of electronic hardware components are elucidated and the current practice in this ...
openaire   +1 more source

SRDP-Sign: a reliable multicast protocol for signaling

NOMS 2008 - 2008 IEEE Network Operations and Management Symposium, 2008
In this paper we present SRDP-sign, a reliable multicast protocol designed to guarantee the reliable transmission of short messages via satellite as an extension of satellite reliable distribution protocol (SRDP). The uses of this protocol range from sending short text messages to transmitting information used for the improvement of networkspsila ...
TOMMASI, Francesco   +2 more
openaire   +2 more sources

Reliable EOG signal-based control approach with EEG signal judgment

Artificial Life and Robotics, 2009
This article proposes a reliable EOG signal-based control approach with EEG signal judgment. In this method, raw bio-neurological signals (including EOG and EEG) are first extracted and segmented in the pre-processing stage. The processed bio-neurological signals will then be evaluated by calculating the feature parameters of these signals.
Tao Zhang 0006   +2 more
openaire   +1 more source

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