Adaptive line enhancemment application 1.0

Operating systemsOS : Windows / Linux / Mac OS / BSD / Solaris
Program licensingScript Licensing : Freeware
CreatedCreated : Sep 7, 2007
Size downloadDownloads : 3
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function [ALEstruct]=ale(f, fs, munoise, sigmanise, lms, ncoef, dur)
function to perform adaptive_line enhancement using LMS algorithm and an adaptive FIR filter
ALE concept enhances a single tone signal (frequency f) affected by white noise (mu, sigma)
REQUIRES FILTER DESIGN TOOLBOX, signal_processing TOOLBOX
INPUTS
f: frequency of sinusoid
fs: sampling signal of sinusoid (At least 2f)
munoise, sigma: mean and variance of white noise
mulms, value of the step parameter in the LMS algorithm
ncoef: number of coefficients of the FIR filter
dur: simulation time in number of signal periods
OUTPUTS
ALEstruct: a structure with fields
. weights: the filter's weights after finishing iterations
. error : evolution of error signal during simulation
. output: output of the filter
. signal: a copy of the input signal
. desired: a copy of the desired signal in the LMS adaptive scheme. Note: e(n)=output(n)-d(n)
. mse . mmselms . emselms . meanwlms . pmselms: results of predicted and simulated filter behavior in terms of MSE, minimum MSE, excess
MSE, coefficient vector means and predicted learning curve (pmselms).

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