Running Average of a Massive data set

1 次查看（过去 30 天）
Duncan Cross
Duncan Cross 2019-12-10
评论： Duncan Cross 2019-12-10
So I have a data file containing 5 seconds of sound data, where I want to smooth the data with a running average function and then use the Fast Fourier Transform function in MATLAB in order to pinpoint the amplitude spikes that should be a tuning fork and an out of tune instrument. The data has 20,000 popints, however, and the methods I've tried so far accidentially erase the information I want. Is there a way to make a running average function manually for that many data points?

请先登录，再回答此问题。

采纳的回答

Image Analyst
Image Analyst 2019-12-10
Well 20,000 points is far from massive. Maybe if it were 10,000 times that big. 20k is actually pretty small. Anyway you can use the conv() function.
windowWidth = 101; % an odd number.
kernel = ones(1, windowWidth) / windowWidth;
smoothedSignal = conv(signal, kernel, 'same');
You can also try the movmean() function if you have a recent version of MATLAB.
  1 个评论
Duncan Cross
Duncan Cross 2019-12-10
It's the biggest one I've had to work with, so it seems massive to me. But your code does smooth it pretty well, thank you!

请先登录，再进行评论。

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Signal Generation and Preprocessing 的更多信息

标签

Community Treasure Hunt

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

Start Hunting!

Translated by