Simplify large for loop running average.

조회 수: 1 (최근 30일)
curoi
curoi 2015년 4월 29일
답변: Ken Atwell 2015년 4월 30일
I'm looking to perform a running average of a height dataset based on conditional time criteria.
First I'm trying to find the overall range of indices that I would perform the running average on:
indi = find( time >= time( 1, 1 ) + hintv );
inde = find( time <= time( end, 1 ) - hintv );
A running average would then be calculated for each cell of time over a 25 hour period (12 hours on either side).
for cc = indi( 1, 1 ):1:inde( end, 1 );
fX( cc, 1 ) = nanmean( height( time >= ( time( cc, 1 ) - hintv ) & ...
time <= ( time( cc, 1 ) + hintv ), 1 ) );
fts( cc, 1 ) = time( cc, 1 );
end
Is there a way of achieving this without having to index each selection of heights within a for loop and then average them?
The problem is that the size of the the time and height datasets for which I would like to get averages are very large, 57000 cells. So a for loop takes way too long.

이 질문에 답변하려면 로그인하십시오.

답변 (1개)

Ken Atwell
Ken Atwell 2015년 4월 30일
I've used the filter function perform moving average calculations -- seven day data smoothing to remove the effects of weekends in my case. You can find the code toward the end of this blog post.
Hope this helps.

카테고리

Help Center 및 File Exchange에서 Matched Filter and Ambiguity Function에 대해 자세히 알아보기

태그

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by