A new two-dimensional (2D) sample-based conjugate gradient (SCO) 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 SCG is computationally simpler than the recursive least squares (RLS) algorithm. The SCG 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)|
|Number of pages||10|
|Journal||Circuits, Systems, and Signal Processing|
|Publication status||Published - 1997|
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering