Statements (28)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
|
| gptkbp:advantage |
faster convergence than LMS
higher computational complexity |
| gptkbp:application |
noise cancellation
echo cancellation channel equalization |
| gptkbp:category |
adaptive algorithms
least squares methods |
| gptkbp:contrastsWith |
gptkb:LMS_algorithm
|
| gptkbp:developedBy |
1970s
|
| gptkbp:field |
digital signal processing
|
| gptkbp:fullName |
gptkb:Recursive_Least_Squares_algorithm
|
| gptkbp:input |
time series data
|
| gptkbp:output |
filter coefficients
|
| gptkbp:parameter |
forgetting factor
initialization matrix |
| gptkbp:reduces |
sum of squared errors
|
| gptkbp:relatedTo |
gptkb:Kalman_filter
gptkb:Wiener_filter |
| gptkbp:requires |
matrix inversion
|
| gptkbp:type |
recursive
|
| gptkbp:usedFor |
gptkb:signal_processing
control systems system identification adaptive filtering |
| gptkbp:bfsParent |
gptkb:LMS_algorithm
|
| gptkbp:bfsLayer |
6
|
| https://www.w3.org/2000/01/rdf-schema#label |
RLS algorithm
|