Recursive Least Squares (RLS)
GPTKB entity
Statements (24)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
|
| gptkbp:advantage |
faster convergence than LMS
higher computational complexity than LMS |
| gptkbp:application |
system modeling
echo cancellation channel equalization |
| gptkbp:contrastsWith |
gptkb:Least_Mean_Squares_(LMS)
|
| gptkbp:field |
control theory
statistics digital signal processing |
| https://www.w3.org/2000/01/rdf-schema#label |
Recursive Least Squares (RLS)
|
| gptkbp:input |
data vector
|
| gptkbp:introducedIn |
1960s
|
| gptkbp:output |
parameter estimate
|
| gptkbp:parameter |
forgetting factor
|
| gptkbp:reduces |
sum of squared errors
|
| gptkbp:relatedTo |
gptkb:Kalman_filter
|
| gptkbp:type |
recursive
|
| gptkbp:usedFor |
gptkb:signal_processing
parameter estimation system identification adaptive filtering |
| gptkbp:bfsParent |
gptkb:Adaptive_Signal_Processing
|
| gptkbp:bfsLayer |
6
|