On the Convergence Behavior of the Noise-constrained NLMS Algorithm.
S. C. ChanY. J. ChuZ. G. ZhangYi ZhouPublished in: ISCAS (2009)
Keyphrases
- convergence rate
- learning algorithm
- iterative algorithms
- particle swarm optimization
- np hard
- noisy data
- computational cost
- matching algorithm
- cost function
- computational complexity
- k means
- dynamic programming
- search space
- preprocessing
- optimization algorithm
- detection algorithm
- convergence property
- rapid convergence
- linear programming
- constrained problems
- stochastic approximation
- faster convergence
- convergence proof
- filtering algorithm
- simulated annealing
- worst case
- optimal solution
- objective function
- image processing