Abstract
A new two-dimensional (2-D) recursive conjugate gradient (RCG) algorithm is developed for adaptive filtering. This algorithm is based on the conjugate gradient method of optimization and therefore has a fast convergence characteristic. The RCG is computationally simpler than the recursive least square (RLS) algorithm. The RCG algorithm with the equation-error and output-error methods is investigated for application in image restoration. Simulation results show that the new algorithm significantly outperforms existing algorithms in the restoration of noisy images.
| Original language | English (US) |
|---|---|
| Pages | 247-250 |
| Number of pages | 4 |
| State | Published - 1996 |
| Externally published | Yes |
| Event | Proceedings of the 1996 7th IEEE Digital Signal Processing Workshop - Loen, Norway Duration: Sep 1 1996 → Sep 4 1996 |
Other
| Other | Proceedings of the 1996 7th IEEE Digital Signal Processing Workshop |
|---|---|
| City | Loen, Norway |
| Period | 9/1/96 → 9/4/96 |
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering