Improvement of the convergence speed and the tracking ability of the fast Newton type adaptive filtering (FNTF) algorithm.
Mohamed DjendiMartin BouchardAbderrezak GuessoumAhmed BenallalDaoud BerkaniPublished in: Signal Process. (2006)
Keyphrases
- convergence speed
- convergence rate
- particle swarm optimization algorithm
- variable step size
- global search
- particle swarm optimization
- adaptive filtering
- faster convergence
- step size
- cost function
- learning algorithm
- least mean square
- global convergence
- optimization algorithm
- simulated annealing
- preprocessing
- objective function
- ant colony optimization
- search space
- filtering method
- artificial neural networks
- optimal solution
- inertia weight
- adaptive filter
- steady state error
- information retrieval
- improve the convergence speed