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Why would turning on the Kiwi's noise blanker result in less noise heard and a drop in the S-meter, but show an increased noise level on the waterfall?
The text was updated successfully, but these errors were encountered:
Short answer: The next release will allow the WF blanking to be applied separately from audio blanking.
Longer answer: Try zooming in. You'll note that at some point WF blanking will start behaving more like you expect. This is because there are not a million strong signals in the WF passband. The blanking is applied in the time-domain ahead of an FFT. And it is done as a rectangular window blank -- the same as for the time-domain audio. This is fine for the audio but causes all sorts of grief when an FFT is applied. So a shaped pulse is probably needed. It's the same issue as why you have to apply a window function to discrete samples to an FFT. And you must also remember the fundamental premise of time-to-frequency domain conversion: that a change to a single sample in the time domain essentially effects all the bins in the frequency domain (exactly what your image shows!)
Why would turning on the Kiwi's noise blanker result in less noise heard and a drop in the S-meter, but show an increased noise level on the waterfall?
The text was updated successfully, but these errors were encountered: