least mean squares (LMS) algorithm
GPTKB entity
Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
|
| gptkbp:advantage |
computationally simple
|
| gptkbp:application |
noise cancellation
system identification echo cancellation channel equalization |
| gptkbp:basedOn |
gradient descent
|
| gptkbp:category |
adaptive algorithm
|
| gptkbp:field |
gptkb:signal_processing
adaptive filtering |
| https://www.w3.org/2000/01/rdf-schema#label |
least mean squares (LMS) algorithm
|
| gptkbp:introduced |
gptkb:Bernard_Widrow
gptkb:Ted_Hoff |
| gptkbp:introducedIn |
1960
|
| gptkbp:limitation |
slow convergence
sensitive to step size selection |
| gptkbp:parameter |
step size (μ)
|
| gptkbp:purpose |
minimize mean square error
|
| gptkbp:relatedTo |
gptkb:Wiener_filter
gptkb:recursive_least_squares_(RLS)_algorithm |
| gptkbp:updateRule |
w(n+1) = w(n) + μ e(n) x(n)
|
| gptkbp:bfsParent |
gptkb:ADALINE
|
| gptkbp:bfsLayer |
7
|