Abstract
Analysis of a modified least mean square algorithm to reduce its design complexity for digital adaptive filter implementation, is presented. Such a modification consists of changing the error codification of the algorithm, because such error is an integer number. Results obtained during the testing of the method in applications to adaptive filters such as linear prediction and system identifier, show that the speed convergence increases. This allows the algorithm to be applied to adaptive filter for which high speed is required. Also, the proposed modification is compatible with existing adaptive filters, since error codification can be separately done.
| Translated title of the contribution | Least mean square algorithm with codified error for adaptive filters |
|---|---|
| Original language | Spanish |
| Pages (from-to) | 85-96 |
| Number of pages | 12 |
| Journal | Informacion Tecnologica |
| Volume | 19 |
| Issue number | 5 |
| DOIs | |
| State | Published - 2008 |