Convergence behavior of two-dimensional least-squares lattice algorithm.
Takayuki NakachiKatsumi YamashitaNozomu HamadaPublished in: EUSIPCO (1996)
Keyphrases
- least squares
- convergence rate
- objective function
- detection algorithm
- preprocessing
- k means
- np hard
- learning algorithm
- linear programming
- experimental evaluation
- improved algorithm
- lattice structure
- three dimensional
- levenberg marquardt
- stochastic approximation
- convex hull
- convergence property
- particle swarm optimization
- high accuracy
- genetic algorithm
- worst case
- multi objective
- computational cost
- sparse linear
- simulated annealing
- search algorithm
- search space
- significant improvement
- iterative algorithms
- cost function
- probabilistic model
- times faster
- matching algorithm
- ant colony optimization
- state space
- parameter estimation