Zobrazeno 1 - 10
of 152
pro vyhledávání: '"Stanley A. Phillip"'
Independent Component Analysis (ICA) is commonly-used in electroencephalogram (EEG) signal processing to remove non-cerebral artifacts from cerebral data. Despite the ubiquity of ICA, the effect of measurement uncertainty on the artifact removal proc
Externí odkaz:
http://arxiv.org/abs/2410.03261
This article presents an electron tunneling noise programmable random variate accelerator for accelerating the sampling stage of Monte Carlo simulations. We used the LiteX framework to generate a FemtoRV imfc RISC-V instruction set soft processor and
Externí odkaz:
http://arxiv.org/abs/2403.16421
Most modern computing tasks have digital electronic input and output data. Due to these constraints imposed by real-world use cases of computer systems, any analog computing accelerator, whether analog electronic or optical, must perform an analog-to
Externí odkaz:
http://arxiv.org/abs/2308.01719
Graphene field-effect transistors (GFETs) are experimental devices which are increasingly seeing commercial and research applications. Simulation and modelling forms an important stage in facilitating this transition, however the majority of GFET mod
Externí odkaz:
http://arxiv.org/abs/2206.13239
This article surveys the landscape of semiconductor materials and devices research for the acceleration of machine learning (ML) algorithms. We observe a disconnect between the semiconductor and device physics and engineering communities, and the dig
Externí odkaz:
http://arxiv.org/abs/2110.05910
Sensors with digital outputs require software conversion routines to transform the unitless analogue-to-digital converter samples to physical quantities with correct units. These conversion routines are computationally complex given the limited compu
Externí odkaz:
http://arxiv.org/abs/2108.11374
This article presents an algorithm for reducing measurement uncertainty of one physical quantity when given oversampled measurements of two physical quantities with correlated noise. The algorithm assumes that the aleatoric measurement uncertainty in
Externí odkaz:
http://arxiv.org/abs/2101.02067
Computing systems that can tolerate effects of errors in their communicated data values can trade this tolerance for improved resource efficiency. Many important applications of computing, such as embedded sensor systems, can tolerate errors that are
Externí odkaz:
http://arxiv.org/abs/2009.07811
There are numerous approximate color transforms reported in the literature that aim to reduce display power consumption by imperceptibly changing the color content of displayed images. To be practical, these techniques need to be content-aware in pic
Externí odkaz:
http://arxiv.org/abs/2007.00494
With the use of primaries which have increasingly narrow bandwidths in modern displays, observer metameric breakdown is becoming a significant factor. This can lead to discrepancies in the perceived color between different observers. If the spectral
Externí odkaz:
http://arxiv.org/abs/2007.00490