Recursive Bayesian Algorithm with Covariance Resetting for Identification of Box-Jenkins Systems with Non-uniformly Sampled Input Data.
Shaoxue JingTianhong PanZhengming LiPublished in: Circuits Syst. Signal Process. (2016)
Keyphrases
- input data
- cost function
- learning algorithm
- recursive algorithm
- optimal solution
- high accuracy
- search space
- detection algorithm
- optimization algorithm
- objective function
- computational complexity
- dynamic programming
- experimental evaluation
- worst case
- theoretical analysis
- identification rate
- improved algorithm
- segmentation algorithm
- computationally efficient
- linear programming
- data sets
- image data
- probabilistic model
- computational cost
- np hard
- expectation maximization
- clustering method
- matching algorithm
- times faster
- convergence rate
- training data