Abstract
A weighted averaging technique has been developed to overcome the shortcomings of conventional, unweighted averaging in the case of non-stationary noise. The technique is based on the linear least-mean-square estimate of a periodic signal in a simple model of non-stationary noise. This estimate weights each recorded epoch according to the magnitude of the noise within the epoch. In the estimation of a known signal, the weighted averaging procedure yielded smaller root-mean-square errors in comparison with the normal unweighted average. The weighted averaging procedure offers many advantages over conventional averaging or averaging with automatic gain control preamplifiers.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 484-489 |
| Number of pages | 6 |
| Journal | Electroencephalography and Clinical Neurophysiology |
| Volume | 57 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 1984 |
| Externally published | Yes |
ASJC Scopus subject areas
- Neuroscience(all)
- Clinical Neurology