Statements (26)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
|
| gptkbp:application |
time series prediction
system identification adaptive noise cancellation channel equalization |
| gptkbp:category |
gptkb:estimation_theory
adaptive algorithms |
| gptkbp:complexity |
O(n^2) per update
|
| gptkbp:feature |
efficiently updates parameter estimates with new data
|
| gptkbp:field |
gptkb:signal_processing
control theory adaptive filtering |
| https://www.w3.org/2000/01/rdf-schema#label |
Recursive Least Squares
|
| gptkbp:introducedIn |
1960s
|
| gptkbp:parameter |
forgetting factor
|
| gptkbp:purpose |
system identification
adaptive filtering online parameter estimation |
| gptkbp:relatedTo |
gptkb:Kalman_Filter
gptkb:Least_Squares_Method |
| gptkbp:type |
recursive
|
| gptkbp:uses |
minimization of sum of squared errors
|
| gptkbp:variant |
gptkb:Exponentially_Weighted_Recursive_Least_Squares
gptkb:Fast_Transversal_Recursive_Least_Squares |
| gptkbp:bfsParent |
gptkb:Least_Mean_Squares
|
| gptkbp:bfsLayer |
6
|