.png){kind=icon}
Return
A Variable Step Size Adaptive Algorithm With Simple Parameter Selection
.png){kind=icon}
PRE
AI
DOI：10.1109/LSP.2022.3195662.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
We propose a normalized least mean squares algorithm with variable step size. Unlike other solutions, it has low computational cost, only three parameters that are simple to choose, and its steady-state performance can be easily predicted. Simulations show a competitive performance in comparison with other solutions, and validate our theoretical analysis.
Keywords:
Steady-state
Signal processing algorithms
Convergence
Adaptive filters
Filtering algorithms
Prediction algorithms
Transient analysis
Adaptive filtering
normalized least mean squares
steady-state analysis
variable step size
Journal
IF:
9.6
Papers:
1.1W
Citations:
1.7W
Organization
Cited Papers
Active Power Control to Mitigate Frequency Deviations in Large-Scale Grid-Connected PV System Using Grid-Forming Single-Stage Inverters.png)
Energies
OAAI
EnergiesIF0
OAAIShareSaveShareSaveShareSaveShareSave
View more