15 citations · 32 across the 20 of their papers we have counts for
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Digital Methods to Quantify Sensor Output Uncertainty in Real Time
Orestis Kaparounakis, Phillip Stanley-Marbell
Modern data-driven applications that make real-time decisions increasingly depend on advanced sensors which use pre-stored calibration data. In such applications, accurate characte…
An Algorithm for Sensor Data Uncertainty Quantification
James T. Meech, Phillip Stanley-Marbell
This article presents an algorithm for reducing measurement uncertainty of one physical quantity when given oversampled measurements of two physical quantities with correlated nois…
Probabilistic Value-Deviation-Bounded Source-Dependent Bit-Level Channel Adaptation for Approximate Communication
Bilgesu Arif Bilgin, Phillip Stanley-Marbell
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 co…