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Is impulse response measurement done with adaptive filter ?
I am interested in learning how the impulse response is deduced/calculated. I am assuming that the sweep is fed through an adaptive filter that continuously adjusts to the error between the measured mic response and the adaptive filter output. Please confirm.
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Inappropriate?FuzzMeasure doesn't work like this.
FuzzMeasure runs the response to the stimulus signal through a correlation operation with the stimulus signal to obtain the impulse response. The correction is similarly applied in the frequency domain, after the deconvolution.
Hope this helps! -
Inappropriate?So it uses some form of correlation scheme then ? Does it account for system delay from the mic response ? Does it delay the correlation to match the first arrival from the mic ?
Also, does it filter out any late responses such as reflections etc ? I ask, because I am hardly seeing any reflections in my measurements whereas other tools seem to show me some .. -
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Inappropriate?Not really, no. :)
I'm not sure why you're not seeing reflections while other tools are showing them to you.
The method I use is outlined in a paper by S. Müller about swept sine measurements. Though even that I'm not so sure about, as the deconvolution method is left up to the reader.
I just choose to use division in the frequency-domain on a very large FFT (sufficiently large to ensure the convolution is linear).
Is that a little more clear?
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