normlms

#normlms function for Scilab

What is it?

This function creates an AdaptiveAlgorithm Object for Normalized Least Mean Square Algorithm to use it with lineareq or dfe to create an equalizer object.
This function has been developed for Communication toolbox in Scilab under Project FOSSEE Toolbox.

Usage

• Change current directory to path/to/function/.
• In Scilab prompt, run: exec('normlms.sci'). This will load the function in environment.
  The function is tested on Scilab 5.5.2. There is no specific OS requirement.

Instructions

alg = normlms(stepsize, bias, leakage_factor)

• Input Arguments:

  • stepsize : Any non-negative real number. It is StepSize parameter for LMS algorithm.
  • bias : Normalized LMS bias parameter between 0 to 1. (Default = 0)
  • leakage_factor : Real number between 0 to 1. It is Leakage Factor parameter for LMS algorithm. (Default = 1)

• Output:

  • alg : Adaptive Alagorithm Object based on Input parameters. Implemented as a Structure type.

Example

alg = normlms(2, 0.1)

Output:

alg  =
	AlgType: "Normalized LMS"
	StepSize: 2
	LeakageFactor: 1
	Bias: 0.1

License

This file must be used under the terms of the CeCILL. This source file is licensed as described in the file COPYING, which you should have received as part of this distribution. The terms are also available at
http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt