An improved model for the Normalized LMS algorithm with Gaussian inputs and large number of coefficients.
Márcio Holsbach CostaJosé Carlos M. BermudezPublished in: ICASSP (2002)
Keyphrases
- mathematical model
- cost function
- probabilistic model
- recognition algorithm
- least mean square
- theoretical analysis
- objective function
- learning algorithm
- input data
- parameter estimation
- similarity measure
- kalman filter
- worst case
- selection algorithm
- classification algorithm
- space complexity
- energy function
- detection algorithm
- segmentation algorithm
- em algorithm
- computational complexity
- search space
- tree structure
- expectation maximization
- optimization algorithm
- gaussian function
- convergence rate
- estimation algorithm
- particle swarm optimization
- memory requirements
- hidden markov models
- gaussian noise
- linear computational complexity
- continuous valued
- autoregressive
- gaussian distribution
- dynamic programming
- bayesian framework
- gaussian mixture model