A new pipelined architecture of the LMS algorithm without degradation of convergence characteristics.
Katsushige MatsubaraKiyoshi NishikawaHitoshi KiyaPublished in: ICASSP (1997)
Keyphrases
- detection algorithm
- computational complexity
- convergence rate
- preprocessing
- cost function
- worst case
- objective function
- convergence property
- search space
- k means
- np hard
- dynamic programming
- learning algorithm
- scheduling problem
- particle swarm optimization
- probabilistic model
- rapid convergence
- fine grained
- convergence theorem
- optimization algorithm
- learning styles
- simulated annealing
- feature extraction
- information systems
- computer vision