Interesting. Considering that the measurement of signal to noise concerns measuring the ratio of the signal to noise, I maintain that it should be possible to get a ratio with any audio volt meter, anotherworda, any ac voltmeter, whether it is true rms or not. That said, I will try to determine whether the ratios change when you use a true rms versus a standard old style ac meter.
Having true RMS gives a more accurate figure. A standard audio voltmeter would work, but possibly not be quite as accurate. If you are running test for inclusion in a data sheet, then it would need to be done correctly, but for most applications an average responding meter would be absolutely fine.
@@ElectronicsNotes I think this means, that a low pass adjustable filter can help recover a signal, where the noise might be statistical in nature and at least somewhat understood.
@@nonokodog622 A filter can remove the noise outside the bandwidth of the required signal snd this will help the noise, but beyond this, reducing the filter bandwidth will cut out parts of the required signal.
@@ElectronicsNotes In my image processing work, we post process by identifying the signal modes then fit a curve to "regress out" Gaussian noise in the band. i wonder if that is possible with a wavelett approach or something else ? Cheers !
I suppose the equivalent for radios is to adopt a filter bandwidth appropriate for the type of modulation being received. It is common to do this on many communications radio receivers where there are bandwidths suitable for AM, SSB, CW, etc. Many modern radios and transceivers have continuously variable filters to adjust for the particular signal being received and under those conditions.
Interesting. Considering that the measurement of signal to noise concerns measuring the ratio of the signal to noise, I maintain that it should be possible to get a ratio with any audio volt meter, anotherworda, any ac voltmeter, whether it is true rms or not. That said, I will try to determine whether the ratios change when you use a true rms versus a standard old style ac meter.
Having true RMS gives a more accurate figure. A standard audio voltmeter would work, but possibly not be quite as accurate. If you are running test for inclusion in a data sheet, then it would need to be done correctly, but for most applications an average responding meter would be absolutely fine.
@@ElectronicsNotes I think this means, that a low pass adjustable filter can help recover a signal, where the noise might be statistical in nature and at least somewhat understood.
@@nonokodog622 A filter can remove the noise outside the bandwidth of the required signal snd this will help the noise, but beyond this, reducing the filter bandwidth will cut out parts of the required signal.
@@ElectronicsNotes In my image processing work, we post process by identifying the signal modes then fit a curve to "regress out" Gaussian noise in the band. i wonder if that is possible with a wavelett approach or something else ? Cheers !
I suppose the equivalent for radios is to adopt a filter bandwidth appropriate for the type of modulation being received. It is common to do this on many communications radio receivers where there are bandwidths suitable for AM, SSB, CW, etc. Many modern radios and transceivers have continuously variable filters to adjust for the particular signal being received and under those conditions.