recursive least squares (RLS) algorithm
GPTKB entity
Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
|
| gptkbp:application |
noise cancellation
system identification echo cancellation channel equalization |
| gptkbp:complexity |
O(n^2) per iteration
|
| gptkbp:feature |
fast convergence
high computational complexity |
| gptkbp:field |
gptkb:signal_processing
control theory adaptive filtering |
| https://www.w3.org/2000/01/rdf-schema#label |
recursive least squares (RLS) algorithm
|
| gptkbp:introducedIn |
1970s
|
| gptkbp:method |
recursive estimation
|
| gptkbp:output |
adaptive filter coefficients
|
| gptkbp:parameter |
forgetting factor
initialization matrix |
| gptkbp:purpose |
minimize the sum of the squares of the differences between the desired and actual signal
|
| gptkbp:relatedTo |
gptkb:least_mean_squares_(LMS)_algorithm
least squares method |
| gptkbp:updateRule |
Kalman filter-like recursion
|
| gptkbp:bfsParent |
gptkb:least_mean_squares_(LMS)_algorithm
|
| gptkbp:bfsLayer |
8
|