Abstract
The authors set forth an approach to the robust analysis of periodic digital data. This approach uses optimal order statistic (OS) filters for the filtering of non-Gaussian additive i.i.d. (independently identically distributed) noise and OS and generalized order statistic (GOS) filters to factor out impulsive and/or bursty noise. The noise is not necessarily stationary and may vary with phase (amplitude) and/or time. The methodology is applied to visual evoked response data.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - IEEE International Symposium on Circuits and Systems |
| Publisher | Publ by IEEE |
| Pages | 2128-2131 |
| Number of pages | 4 |
| Volume | 3 |
| State | Published - 1990 |
| Event | 1990 IEEE International Symposium on Circuits and Systems Part 3 (of 4) - New Orleans, LA, USA Duration: May 1 1990 → May 3 1990 |
Other
| Other | 1990 IEEE International Symposium on Circuits and Systems Part 3 (of 4) |
|---|---|
| City | New Orleans, LA, USA |
| Period | 5/1/90 → 5/3/90 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
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Cite this
Longbotham, H. G., Arnow, T., Barsalou, N., Keating, J., & Glickman, R. D. (1990). Analysis of periodic signals via order statistic filters. In Proceedings - IEEE International Symposium on Circuits and Systems (Vol. 3, pp. 2128-2131). Publ by IEEE.