Back to results
US 2008/0260141 A1Published application
Method and apparatus for enhanced convergence of the normalized LMS algorithm
AssigneeGas Technology Institute
InventorMaurice Givens
Life of this patent
Estimating the term…
Abstract
Adaptive filters employing a normalized time domain least mean square algorithm having enhanced convergence rates by virtue of the use of an update gain greater than 2 λ max or 2 3 tr [ R ] .
Claims6
An adaptive filtering method comprising the steps of:
- computing a difference between an adaptive filter output signal of an adaptive filter having a plurality of filter coefficients and an unknown system output signal, said difference constituting an error signal;
- and
- adjusting said filter coefficients using a normalized time domain LMS algorithm employing an update gain greater than
- 2
- λ
- max
-
-
- or
-
-
- 2
- 3
-
-
- tr
-
- [
- R
- ]
- so as to reduce said error signal.
18 more elements
A normalized least mean square adaptive filter comprising:
- means for filtering an input signal by an adaptive filter weight;
- means for comparing the filtered input signal and a reference signal to provide an error signal;
- means for feeding said error signal back to said filtering means for adaptively adjusting said filter weight as a function of said error signal and a feedback coefficient;
- and
- means for determining said feedback coefficient in accordance with the relationship
- h(x+1)=h(k)+μe(k)x(k)
- where μ is an update gain greater than
- 2
- λ
- max
-
-
- or
-
-
- 2
- 3
-
-
- tr
-
- [
- R
- ]
- .
22 more elements
Dependencies are inferred from the claim text.