Automatic Signal segmentation for feature extraction

8 次查看（过去 30 天）
Radons
Radons 2018-1-21
评论： Image Analyst 2022-11-4
Hi,
Does anyone know how to do signal segmentation on the raw signal? I need to segment the raw signal into 8 different segments so that i can do feature extraction on individual segments.

请先登录，再回答此问题。

采纳的回答

Image Analyst
Image Analyst 2018-1-21
Attach some signals so we can play with them.
Assuming the "tall" parts of the signal are not uniformly spaced (in which case you could extract them trivially with indexing at fixed indexes), then you need to find the center of the quiet parts. I'd start by thresholding the absolute value of the signal to find the low/quiet parts. You should have 9 of them, unless your tall signal parts hit the edge of your range. If you don't have 9, then I'd call imdilate repeatedly until you get exactly 9 quiet regions. Then I'd call regionprops() to get the centroid (middle index) of the quiet parts, and then I'd loop over the regions extracting the tall regions into cells. They need to be in cells because each region might have a different number of elements. Something like (untested)
quietParts = abs(signal) < threshold;
[~, numRegions] = bwlabel(quietParts);
while numRegions > 9
quietParts = imdilate(quietParts, [1,1,1]);
[~, numRegions] = bwlabel(quietParts);
end
% Now we should have the quiet parts. Find the centroids.
props = regionprops(quietParts, 'Centroid');
% Extract each tall signal part into a cell
for k = 1 : length(props)-1
index1 = round(props(k).Centroid;
index2 = round(props(k+1).Centroid;
individualSignals{k} = signal(index1:index2);
end
Note, the code above requires the Image Processing Toolbox.
  19 个评论
显示 17更早的评论
Image Analyst
Image Analyst 2022-11-4
@Cey by now I imagine you've found one. You can just use trial and error until you get the right one. If you have any more questions, start your own discussion thread so we're not bugging @Radons on his 4 years old question with emails about activity on it.

请先登录，再进行评论。

更多回答（1 个）

Hristo Zhivomirov
Hristo Zhivomirov 2019-10-13
Hi, Radons!
You can do the job using Signal Framing (Segmentation) with Matlab.
I think that this the most suitable, easy-to-use and straightforward way.
Also, you can use the example.m file as reference.
All best,
Hristo

类别

在 Help Center 和 File Exchange 中查找有关 Descriptive Statistics 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