Recursive Least Squares (RLS) algorithm
GPTKB entity
Statements (20)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
|
| gptkbp:advantage |
faster convergence than LMS
higher computational complexity |
| gptkbp:application |
noise reduction
echo cancellation channel equalization |
| gptkbp:category |
digital signal processing
adaptive algorithms |
| gptkbp:contrastsWith |
gptkb:Least_Mean_Squares_(LMS)_algorithm
|
| gptkbp:introducedIn |
1970s
|
| gptkbp:parameter |
forgetting factor
|
| gptkbp:reduces |
sum of squared errors
|
| gptkbp:relatedTo |
gptkb:Kalman_filter
|
| gptkbp:updated |
filter coefficients recursively
|
| gptkbp:usedFor |
gptkb:signal_processing
system identification adaptive filtering |
| gptkbp:bfsParent |
gptkb:Normalized_LMS_(NLMS)
|
| gptkbp:bfsLayer |
7
|
| https://www.w3.org/2000/01/rdf-schema#label |
Recursive Least Squares (RLS) algorithm
|