Identification of linear time-varying systems using a modified least-squares algorithm.
Rogelio LozanoDimitrios DimogianopoulosRobert E. MahonyPublished in: Autom. (2000)
Keyphrases
- least squares
- np hard
- optimal solution
- linear systems
- search space
- theoretical analysis
- hardware implementation
- computational cost
- preprocessing
- identification rate
- learning algorithm
- computational complexity
- improved algorithm
- levenberg marquardt
- detection algorithm
- markov random field
- recognition algorithm
- convex hull
- sparse linear
- times faster
- optimization algorithm
- simulated annealing
- dynamic programming
- cost function
- k means
- evolutionary algorithm
- objective function
- neural network
- worst case
- convergence rate
- significant improvement
- linear model
- curve fitting
- image segmentation
- clustering algorithm
- gradient projection