Filter - smooth (calculating the moving average along a vector)
function [vectorout]=moving_average(vectorin,eFave)
Author: Adrián Lara-Quintanilla
Date: 12/03/2013
This function calculates a moving average along a vector. "eFave" is the
number of elements around the element in the input vector "vectorin" used
to calculate the averaged value in "vectorout". The values at the
beginning and at the end of "vectorin" that could not be calculated with
and average of "eFave" elements are calculated as an average of the
remaining values at the beginning or at the end of "vectorin".
Note: "eFave" should be an odd number. If not, '1' is added to its value.
Example: vectorin=[1 2 5 4 8 9] and eFave=4.
eFave->5, vector out=[x1 x2 4 5.6 x5 x6], note that x3 and x4 can be
calculated as a mean of the 5 elements (including themselves) around
them. Because this can not be applied on x1,x2,x5,x6, and the goal is to
smooth the series, x1=1, x2=mean(1 and 2), x3=mean(8 and 9)
and x4=9
Citar como
Adrian Lara-Quintanilla (2024). Filter - smooth (calculating the moving average along a vector) (https://www.mathworks.com/matlabcentral/fileexchange/40758-filter-smooth-calculating-the-moving-average-along-a-vector), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
- Signal Processing > Signal Processing Toolbox > Signal Generation and Preprocessing > Smoothing and Denoising >
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