Sparse Normalized Least Mean Absolute Deviation Algorithm Based on Unbiasedness Criterion for System Identification With Noisy Input.
Wentao MaNing LiYuanhao LiJiandong DuanBadong ChenPublished in: IEEE Access (2018)
Keyphrases
- high accuracy
- times faster
- computational cost
- improved algorithm
- optimal solution
- computational complexity
- preprocessing
- learning algorithm
- search space
- optimization algorithm
- noisy data
- np hard
- prediction error
- optimization criterion
- matching algorithm
- sparse matrix
- input data
- theoretical analysis
- simulated annealing
- dynamic programming
- significant improvement
- expectation maximization
- tree structure
- probabilistic model
- experimental evaluation
- recurrent neural networks
- high dimension
- k means
- high dimensional
- optimality criterion