Identification of a deterministic Wiener system based on input least squares algorithm and direct residual method.
Shaoxue JingPublished in: Int. J. Model. Identif. Control. (2020)
Keyphrases
- least squares
- improved algorithm
- cost function
- input data
- computational cost
- levenberg marquardt
- high accuracy
- experimental evaluation
- theoretical analysis
- detection algorithm
- dynamic programming
- preprocessing
- optimization algorithm
- synthetic and real images
- identification rate
- segmentation algorithm
- computationally efficient
- clustering method
- estimation algorithm
- tree structure
- objective function
- convergence rate
- segmentation method
- classification method
- k means
- reconstruction method
- np hard
- significant improvement
- recognition algorithm
- detection method
- selection algorithm
- high efficiency
- parameter estimation
- energy function
- matching algorithm
- curve fitting
- residual error
- sparse linear
- optimization method
- support vector machine svm
- edge detection
- search space
- computational complexity
- simulated annealing
- optimal solution
- weighted least squares
- similarity measure
- learning algorithm
- relaxation algorithm
- neural network
- image restoration
- em algorithm
- probabilistic model
- trust region