What code to implement to create a non-causal moving average filter that would use future values as input?
7 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
I am quite confused as I am able to write a code for a simple causal moving average filter but do not know that what would differ if it's a non causal one. Please provide me the code for non-causal moving average filter for any number of M values.
0 Kommentare
Antworten (2)
Image Analyst
am 24 Okt. 2015
See https://en.wikipedia.org/wiki/Causal_filter "In signal processing, a causal filter is a linear and time-invariant causal system. The word causal indicates that the filter output depends only on past and present inputs. A filter whose output also depends on future inputs is non-causal, whereas a filter whose output depends only on future inputs is anti-causal. "
If your signal is time, with early times on the left and later times on the right, then I guess a non-causal filter would be a window that had an odd number of elements and didn't have any on the past/left side of it, like
kernel = [0,0,0,0,1,1,1,1,1] / 5;
out = imfilter(signal, 1, kernel);
or something like that.
3 Kommentare
Image Analyst
am 25 Okt. 2015
No, it only averages over half the filter window. To do a moving average over the whole window, which is what you're asking now, you'd use all 1's.
y = conv(x, ones(1, M)/M, 'full');
Nalini
am 21 Feb. 2017
Bearbeitet: Nalini
am 21 Feb. 2017
Generally for noise reduction,which is better, a causal filter or a non-causal filter?
Also, which function can I use to perform moving average of array (samples of a sensor signal)?
What's the difference between 'movmean' and 'tsmovavg'
thank you very much!
hawi aboma
am 27 Mär. 2021
Bearbeitet: hawi aboma
am 27 Mär. 2021
I'm confused how to write the matlab code for and design filter for cousal and non cousal system, and how to check real time filtert?
1 Kommentar
Image Analyst
am 27 Mär. 2021
What's confusing? For a sliding window filter, half of it should be zeroed out - the half that refers to the "future".
Siehe auch
Kategorien
Mehr zu Matched Filter and Ambiguity Function finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!