A new stochastic algorithm inspired on genetic algorithms to estimate signals with finite rate of innovation from noisy samples.
Aitor ErdozainPedro M. CrespoPublished in: Signal Process. (2010)
Keyphrases
- learning algorithm
- estimation algorithm
- detection algorithm
- computational cost
- data sets
- computational complexity
- k means
- monte carlo
- simulated annealing
- stochastic approximation
- estimation error
- optimization method
- objective function
- dynamic programming
- particle swarm optimization
- expectation maximization
- np hard
- search space
- noisy data
- probabilistic model
- cost function
- hybrid algorithm
- recognition algorithm
- optimal solution
- genetic operators
- artificial immune system
- neural network