Statements (32)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
|
| gptkbp:alsoKnownAs |
gptkb:LMS_algorithm
|
| gptkbp:application |
noise cancellation
system identification echo cancellation |
| gptkbp:category |
linear adaptive filter
online learning algorithm |
| gptkbp:dependsOn |
step size
|
| gptkbp:developedBy |
gptkb:Bernard_Widrow
gptkb:Ted_Hoff |
| https://www.w3.org/2000/01/rdf-schema#label |
Least Mean Squares
|
| gptkbp:introducedIn |
1960
|
| gptkbp:limitation |
slow convergence for correlated inputs
|
| gptkbp:output |
error signal
filter weights |
| gptkbp:parameter |
step size (μ)
|
| gptkbp:reduces |
mean squared error
|
| gptkbp:relatedTo |
gptkb:Wiener_filter
gptkb:Recursive_Least_Squares |
| gptkbp:requires |
desired signal
input signal |
| gptkbp:type |
stochastic gradient descent
|
| gptkbp:updateRule |
w(n+1) = w(n) + μ e(n) x(n)
|
| gptkbp:usedIn |
gptkb:machine_learning
gptkb:signal_processing adaptive filtering |
| gptkbp:variant |
gptkb:Complex_LMS
gptkb:Leaky_LMS gptkb:Sign_LMS Normalized LMS |
| gptkbp:bfsParent |
gptkb:LMS
|
| gptkbp:bfsLayer |
5
|