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If a normal filter can remove non damaging cycles from a signal for fatigue analysis why WT and CWT?
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Hi All
what is the point of using Morlet Wavelt and CWT that eventually work as a normal filter function to reduce and omit the non damaging cycles from a signal ?
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Sindar
2020 年 4 月 30 日
編集済み: Sindar
2020 年 4 月 30 日
I use an older CWT function that I don't recommend (just not worth my time to switch over at this point). But, generally, you'll be looking at some sort of "time-bandwidth product" parameter. This doesn't correspond directly to a window size (since that depends on the frequency), but it does allow you to tune whether you get more resolution in the frequency or time axes. Generally, my suggestion would be to start with the default, then explore from there. Usually, you'll get very sharp vertical lines if too low, sharp horizontal lines if too high, and blobs when you're in the generally useful region.
(there are ways to predict the value you'll need, but it depends on your frequency scale and which wavelet you're using, and is usually easier to explore first)
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