6533b7d2fe1ef96bd125ea0e
RESEARCH PRODUCT
Robust adaptive algorithm with low computational cost
Jonathon A. ChambersAntonio J. SerranoJ. CalpeEmilio SoriaJosé D. Martínsubject
NoiseSignal processingComputational complexity theoryRate of convergenceAdaptive algorithmControl theoryConvergence (routing)System identificationFunction (mathematics)Electrical and Electronic EngineeringAlgorithmMathematicsdescription
An adaptive algorithm, which is robust to impulsive noise, is proposed. The cost function underlying this algorithm contains a parameter that controls the immunity to impulsive noise and can be easily adapted. Moreover, weight updating involves a nonlinear function, which recently has been shown to have an efficient hardware implementation. The proposed adaptive algorithm has been successfully tested in terms of accuracy and convergence on a system-identification simulation.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2006-01-01 | Electronics Letters |