We’re very excited to announce a brand new version of FeatureFinder: Version 2.5.0. It has the usual mix of big additions, minor revisions, and the odd bug fix, so we’d definitely recommend giving it a try. Download a copy, free as always, here. Here are a couple things to expect:
Viewing the frequency spectra of our signals is something we’ve been keen to integrate for a while. You can now simply check an “FFT” checkbox to see the spectrum of any loaded signal. (FFT stands for “Fast Fourier Transform.”) This can be useful in many ways, including these:
- Search your data’s spectra for frequency-specific noise, and see how well your filters reduce it;
- Look for patterns among your data files’ spectra, and build custom features to analyze them;
- Develop a better intuitive sense about the frequency content of your data;
- Learn how different filters work, and the effects of their cut-off frequencies and filter orders on your data.
You can now access all of your data file parameters from within your custom feature and filter code. This means that if you have, say, a study participant’s age in your data filenames, you’ll be able to use this value in your feature/filter calculations.
You could also use this in creative ways, such as setting up different target windows for every file. To do this, you might add the window range
- and so on.
Then, you could setup a custom feature that extracts data only from those regions!
As always, please send us a note if you have any questions, suggestions, or just want to say hello!