| Autor: |
Bukhari Che Ujang, Fazirulhisyam Hashim, Haydar Imad Mohammed |
| Rok vydání: |
2015 |
| Předmět: |
|
| Zdroj: |
ASCC |
| DOI: |
10.1109/ascc.2015.7244595 |
| Popis: |
The data-driven optimal modeling and identification of widely-linear quaternion-valued synthetic systems is achieved by using a quaternion-valued gradient based algorithms. To account rigorously for the second-order statistics of the quaternion system, the quaternion least mean square (QLMS) and widely linear quaternion least mean square (WL-QLMS) were selected. The QLMS is shown to successfully model the quaternion-valued systems and the WL-QLMS is able to model both quaternion and widely-linear quaternion valued systems taking into account the full second-order statistics of the system. Analysis has proven that both algorithms are able to adapt to non-stationary nature of the systems. This approach is supported by simulations of various synthetic systems. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
