Stable condition considering modeling error in the filtered-x LMS algorithm.
Yoskinobu KajikawaJunya YabukiYasuo NomuraPublished in: ISCAS (2000)
Keyphrases
- learning algorithm
- detection algorithm
- preprocessing
- linear complexity
- cost function
- experimental evaluation
- optimization algorithm
- times faster
- expectation maximization
- k means
- dynamic programming
- error rate
- computational cost
- np hard
- significant improvement
- clustering method
- improved algorithm
- recognition algorithm
- convergence rate
- search space
- computational complexity
- search algorithm
- matching algorithm
- tree structure
- optimal solution
- particle swarm optimization
- error tolerance
- higher education
- prediction error
- least mean square
- segmentation algorithm
- theoretical analysis
- computationally efficient
- sufficient conditions
- input data
- high accuracy
- worst case
- wavelet transform
- probabilistic model
- multi objective
- image segmentation