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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Barford, L. Gibbs, I. Kelley, R. |
| Copyright Year | 2011 |
| Description | Author affiliation: Measurement Research Laboratory, Agilent Technologies, 561 Keystone Ave. MS 434, Reno, NV 89503 USA (Barford, L.) || Department of Computer Science and Engineering, University of Nevada MS-171, Reno, NV 89557 USA (Gibbs, I.; Kelley, R.) |
| Abstract | Histograms are commonly used in instrumentation to produce a visual representation of the probability density of a random signal from repeated measurements. However, histograms have a number of shortcomings as a method of data visualization. We propose using kernel density estimation as a replacement for histograms in instrumentation. Kernel density estimation has a number of advantages as a means of visualizing the probability density of a waveform or derived measurement. However, kernel density estimates have been considered too computationally burdensome for inclusion in instruments and virtual instruments. In this paper, we demonstrate that a graphics processing unit (GPU) can be used to compute and display kernel density estimates of actual measured data at a full video rate. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 406150 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424479337 |
| ISSN | 10915281 |
| e-ISBN | 9781424479351 |
| DOI | 10.1109/IMTC.2011.5944150 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Kernel Histograms Instruments Density measurement Estimation Graphics processing unit Bandwidth |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Electrical and Electronic Engineering |
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