Mean-square performance of the filtered-reference/ filtered-error LMS algorithm.
Shigeyuki MiyagiHideaki SakaiPublished in: IEEE Trans. Circuits Syst. I Regul. Pap. (2005)
Keyphrases
- dynamic programming
- learning algorithm
- recognition algorithm
- optimal solution
- linear complexity
- theoretical analysis
- high accuracy
- worst case
- search space
- k means
- experimental evaluation
- computational cost
- sufficient conditions
- data sets
- improved algorithm
- similarity measure
- times faster
- tree structure
- optimization algorithm
- objective function
- computationally efficient
- significant improvement
- computational complexity
- expectation maximization
- clustering method
- particle swarm optimization
- linear programming
- error bounds
- probabilistic model
- cost function