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AFT Estimate Maximum Step Size for FIR LMS VI

LabVIEW 2013 Adaptive Filter Toolkit Help

Edition Date: June 2013

Part Number: 372357B-01

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Owning Palette: Adaptive Filters VIs

Requires: Adaptive Filter Toolkit

Estimates the maximum step size for an adaptive filter that you create with the standard least mean squares (LMS) algorithm.

Details  Example

x(n) specifies the input signal x(n) to the adaptive filter.
filter length specifies the filter length of the adaptive filter. The value must be greater than or equal to 2. The default is 128.
error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
maximum step size returns the maximum step size that you can use to filter the input signal x(n).
error out contains error information. This output provides standard error out functionality.

AFT Estimate Maximum Step Size for FIR LMS Details

This VI completes the following steps to estimate the maximum step size value for an adaptive filter.

  1. Obtains a series of filter input vectors from the input signal.
  2. Identifies the filter input vector that has the maximum signal power.
  3. Calculates the reciprocal of the maximum signal power. The result is the maximum step size that you can use for the adaptive filter.


Refer to the Estimate Maximum Step Size for LMS Adaptive Filter VI in the labview\examples\Adaptive Filters\Getting Started directory for an example of using the AFT Estimate Maximum Step Size for FIR LMS VI.


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