Abstract
In this paper, a transient analysis is performed for a least squares based adaptive algorithm, Euclidean Direction Search algorithm. The transient analysis is characterized by derivations of the energy conservation relation and the learning curve equation. The learning curve equation is particularly important because it describes the learning mechanism of the algorithm without an explicit recursion for the weight vector.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1554-1558 |
| Number of pages | 5 |
| Journal | Conference Record - Asilomar Conference on Signals, Systems and Computers |
| Volume | 2 |
| State | Published - Dec 1 2004 |
| Externally published | Yes |
| Event | Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States Duration: Nov 7 2004 → Nov 10 2004 |
ASJC Scopus subject areas
- Signal Processing
- Computer Networks and Communications
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Cite this
Zhang, Z., Bose, T., & Gunther, J. (2004). Transient analysis of the Euclidean Direction Search (EDS) algorithm. Conference Record - Asilomar Conference on Signals, Systems and Computers, 2, 1554-1558.