help with signal processing
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I have 5 different signals, and several subjects. I'm acquiring data of these 5 signals for each one of them, and I need to extract feactures from these signals.
I'm getting buffers of 256 samples with 64 samples overlaping for each signal. For getting an accurate result, I should extract the features for each buffer, or can I just extract features of each signal even though they have different lengths?
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Image Analyst
2017-10-17
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" but for the feature extraction I need the features of the whole signal" -- What does that mean? You have the whole signal, and you pass it into your function featuresFromBuffer(), and you get back a feature vector (presumably of a fixed length). In the loop, you're eventually having the function look at the whole signal, a chunk ("buffer") at a time. So what's the problem?
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