A steady-state analysis of the ε-normalized sign-error least mean square (NSLMS) adaptive algorithm.
Mohammed Mujahid Ulla FaizAzzedine ZerguinePublished in: ACSCC (2011)
Keyphrases
- least mean square
- steady state
- adaptive filtering
- learning algorithm
- probabilistic model
- markov chain
- step size
- genetic regulatory networks
- neural network
- computational complexity
- convergence rate
- objective function
- dynamic programming
- computationally efficient
- queue length
- filtering algorithm
- multiscale
- recursive least squares
- matched filter
- hidden markov models
- product form
- search space