Abstract
A new variable step-size algorithm is proposed using an evolutionary approach for the least mean square algorithm. The step-size candidates are evaluated by calculating their square errors, which are composed of a priori and a posteriori errors. The composition of the square error measure is regulated according to different properties of errors. The new algorithm always outperforms other traditional variable step-size methods to provide fast converging and good tracking capability.
| Original language | English |
|---|---|
| Pages (from-to) | 160-162 |
| Number of pages | 3 |
| Journal | Electronics Letters |
| Volume | 39 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 9 Jan 2003 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
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