j-curve
100+ Head-Fier
- Joined
- Apr 15, 2002
- Posts
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Noise
Warning: Geek hazard ahead. Please dial a pizza and have your thickest pair of glasses ready.
Here's a plot of the background noise of the MD -> EQ -> Spectrum Analyzer system with the MD in pause mode. Note the different vertical scale of this graph which runs from 0dB down to -90dB, as compared to the test results which are plotted from -30dB to -60dB.
The worst part is below 25Hz and is generated inside the computer. From left to right you can see 50Hz power supply interference coming in on the line input, plus its odd-numbered harmonics at 150, 250, 350 & 450Hz. The little blip at 16.465kHz is probably the horizontal oscillator in the graphics card.
Adding the binaural microphones into the picture raises the noise level. The following recording was done with the microphones sitting on a cushion (ie. not plugged into my ears) in a quiet environment. The recording settings were as follows:-
Mic Sensitivity = Low
Manual Rec Volume = 22/30
These are the same settings as were used for most of the headphone tests.
Now plugging the binaural mics into the ears:-
It seems "body noise" (heartbeat, bloodflow, breathing... hopefully not too much else
) adds about 6dB to the noise floor. Here's how it looks on the normal -30 to -60dB scale:-
Noise Floor
This noise floor represents an absolute minimum for any graph, unless the Shaped Noise can be played louder and the Rec Volume reduced accordingly. The AKG K301 graph is an example of a plot where bass response rolled off sharply and collided with the noise floor. The AKG K240 Monitor was an example where the headphone had low sensitivity and the Rec Volume had to be increased above 22/30. This caused the noise floor to rise about 5dB higher than the above graph.
For these reasons care should be taken when interpreting the low end of the spectrum. One approach is to use the 10-16Hz bucket as an indicator of the noise floor, since the output of most headphones will be down by 20dB or more at those frequencies. Superimposing the noise floor graph over any of the headphone response graphs (and lining them up according to the 10-16Hz bucket) gives a useful indication of whether the noise floor is corrupting the spectrum graph. The noise floor cannot simply be subtracted from the graph though. You might want to put the glasses on now...
Effect of Noise on Spectrum
What is the effect of the noise floor on a response plot? If the noise is in phase with the signal then the two add together, ie. 1 volt of noise plus 1 volt of signal = 2 volts of noise-plus-signal, a gain of 6dB. If the noise is out of phase however, it cancels the signal out completely(!) Unless the noise is correlated with the signal in some way, you can assume that on average it is 90 degrees out of phase with the signal. Under this assumption of orthogonality, a simple rule of thumb can be calculated:-
If the noise floor is 6dB below the signal, the graph rises by 1dB.
If the noise floor is 2dB below the signal, the graph rises by 2dB.
If the noise floor is equal to the signal (0dB), the graph rises by 3dB.
In practice though, we don't know the signal level. All we have is the graph (=signal+noise) and our estimate of where the noise floor is. Applying the rule of thumb in reverse we can develop the "743 Correction" to estimate the true signal level:-
Where the graph is only 7dB above the noise floor, subtract 1dB.
Where the graph is only 4dB above the noise floor, subtract 2dB.
Where the graph is only 3dB above the noise floor, subtract 3dB.
If you apply the 743 correction to each bucket up to about 63Hz you should get a better picture of the low-end response.
Environmental Noise
Noise such as passing traffic, subwoofer demonstrations, air-conditioning systems, escalators, store announcements and a myriad of boombox and home theater equipment on display contributes an ever-changing cacophony to the noise floor. This can be estimated by recording a sample of the environment (while wearing the headphones) and comparing it to the spectral plot with the 743 Correction in mind. In the end, there's no substitute for silence.
Gotta go, my pizza has arrived.
Warning: Geek hazard ahead. Please dial a pizza and have your thickest pair of glasses ready.
Here's a plot of the background noise of the MD -> EQ -> Spectrum Analyzer system with the MD in pause mode. Note the different vertical scale of this graph which runs from 0dB down to -90dB, as compared to the test results which are plotted from -30dB to -60dB.
The worst part is below 25Hz and is generated inside the computer. From left to right you can see 50Hz power supply interference coming in on the line input, plus its odd-numbered harmonics at 150, 250, 350 & 450Hz. The little blip at 16.465kHz is probably the horizontal oscillator in the graphics card.
Adding the binaural microphones into the picture raises the noise level. The following recording was done with the microphones sitting on a cushion (ie. not plugged into my ears) in a quiet environment. The recording settings were as follows:-
Mic Sensitivity = Low
Manual Rec Volume = 22/30
These are the same settings as were used for most of the headphone tests.
Now plugging the binaural mics into the ears:-
It seems "body noise" (heartbeat, bloodflow, breathing... hopefully not too much else
Noise Floor
This noise floor represents an absolute minimum for any graph, unless the Shaped Noise can be played louder and the Rec Volume reduced accordingly. The AKG K301 graph is an example of a plot where bass response rolled off sharply and collided with the noise floor. The AKG K240 Monitor was an example where the headphone had low sensitivity and the Rec Volume had to be increased above 22/30. This caused the noise floor to rise about 5dB higher than the above graph.
For these reasons care should be taken when interpreting the low end of the spectrum. One approach is to use the 10-16Hz bucket as an indicator of the noise floor, since the output of most headphones will be down by 20dB or more at those frequencies. Superimposing the noise floor graph over any of the headphone response graphs (and lining them up according to the 10-16Hz bucket) gives a useful indication of whether the noise floor is corrupting the spectrum graph. The noise floor cannot simply be subtracted from the graph though. You might want to put the glasses on now...
Effect of Noise on Spectrum
What is the effect of the noise floor on a response plot? If the noise is in phase with the signal then the two add together, ie. 1 volt of noise plus 1 volt of signal = 2 volts of noise-plus-signal, a gain of 6dB. If the noise is out of phase however, it cancels the signal out completely(!) Unless the noise is correlated with the signal in some way, you can assume that on average it is 90 degrees out of phase with the signal. Under this assumption of orthogonality, a simple rule of thumb can be calculated:-
If the noise floor is 6dB below the signal, the graph rises by 1dB.
If the noise floor is 2dB below the signal, the graph rises by 2dB.
If the noise floor is equal to the signal (0dB), the graph rises by 3dB.
In practice though, we don't know the signal level. All we have is the graph (=signal+noise) and our estimate of where the noise floor is. Applying the rule of thumb in reverse we can develop the "743 Correction" to estimate the true signal level:-
Where the graph is only 7dB above the noise floor, subtract 1dB.
Where the graph is only 4dB above the noise floor, subtract 2dB.
Where the graph is only 3dB above the noise floor, subtract 3dB.
If you apply the 743 correction to each bucket up to about 63Hz you should get a better picture of the low-end response.
Environmental Noise
Noise such as passing traffic, subwoofer demonstrations, air-conditioning systems, escalators, store announcements and a myriad of boombox and home theater equipment on display contributes an ever-changing cacophony to the noise floor. This can be estimated by recording a sample of the environment (while wearing the headphones) and comparing it to the spectral plot with the 743 Correction in mind. In the end, there's no substitute for silence.
Gotta go, my pizza has arrived.