Comments (1)
mickvf
commented on July 24, 2024
Hi again. With some further thought and development, I've decided that the onus is on me to sense when NaNs are coming back: I think it's mainly an artifact of us working mainly with such low sampling rates (20), and in any case, our users aren't expected to be working so close to the Nyquist frequency. I'm returning a flat line timeseries in these edge cases plus the necessary information for them to figure out what's happening.
Once again thank for this project!
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Related Issues (20)
- Version number mismatch? HOT 4
- Some help converting code from Matlab HOT 3
- Debug message HOT 2
- Bandpass filter frequency settings HOT 6
- Forward-Backward Filter HOT 4
- Real-time filtering vs array filtering HOT 2
- Applying butterworth bandpass filter on a wav file HOT 1
- Input for butterworth filter on audio signal HOT 1
- Changing target Frequency while feeding in new Samples HOT 3
- Basic question on applying the filter HOT 2
- Python equivalent of a simple filter HOT 2
- A querstion about HighPass HOT 1
- A querstion about HighPass with value HOT 1
- [Question] I want to make a C# port of this, but... HOT 2
- Unusual results when using Bessel filters of higher orders HOT 5
- Add Support for Cauer / Elliptic Filter HOT 1
- Issue with Odd-Order Highpass Filters HOT 2
- about sampling rate and cut off frequency HOT 1
- voice filter HOT 3
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