A theory of the FXLMS algorithm based on statistical-mechanical method.
Seiji MiyoshiYoshinobu KajikawaPublished in: ISPA (2013)
Keyphrases
- preprocessing
- high accuracy
- cost function
- experimental evaluation
- computational cost
- dynamic programming
- clustering method
- significant improvement
- objective function
- computational complexity
- computational efficiency
- detection algorithm
- improved algorithm
- detection method
- segmentation method
- theoretical analysis
- optimization algorithm
- experimental study
- tree structure
- optimization method
- convergence rate
- single pass
- computational speed
- k means
- segmentation algorithm
- learning algorithm
- mapping function
- decomposition method
- estimation algorithm
- high efficiency
- computationally efficient
- mathematical model
- synthetic and real images
- matching algorithm
- recognition algorithm
- prior information
- support vector machine svm
- noisy data
- image matching
- classification algorithm
- test images
- combinatorial optimization
- input data
- selection algorithm
- similarity measure
- particle swarm optimization
- reconstruction method
- region of interest
- support vector machine
- np hard
- path planning
- parameter estimation
- multi objective
- feature selection
- statistical information
- expectation maximization
- optimal solution
- search space
- kalman filter