Subject: Re: equal loudness calculation From: Jose-Javier Lopez <jjlopez(at)DCOM.UPV.ES> Date: Mon, 18 Apr 2005 12:54:18 +0200> in this case, I don't want to filter a sound, but simply scale its > amplitude. > Or is there a way to make the formula itself efficient by > implementing it as a filter? If you have your data in freq domain, just use the equation for weighting. In this case you don't need to filter in time domain. JJ ----- Original Message ----- From: "Julian Rohrhuber" <rohrhuber(at)UNI-HAMBURG.DE> To: <AUDITORY(at)LISTS.MCGILL.CA> Sent: Monday, April 18, 2005 12:18 PM Subject: Re: [AUDITORY] equal loudness calculation > >This is the analitic equation for A-Weighting. >> >>http://www.beis.de/Elektronik/AudioMeasure/WeightingFilters.html#A-Weighting > > > thank you, this is quite exactly what I was looking for. > >>Just, pass it to Z domain and use "a" and "b" coef. in a IIR filter. > > in this case, I don't want to filter a sound, but simply scale its > amplitude. > Or is there a way to make the formula itself efficient by > implementing it as a filter? > >>Very efficient ! >> >>JJ >> >> >> >>----- Original Message ----- From: "Julian Rohrhuber" >><rohrhuber(at)UNI-HAMBURG.DE> >>To: <AUDITORY(at)LISTS.MCGILL.CA> >>Sent: Tuesday, April 12, 2005 4:25 PM >>Subject: [AUDITORY] equal loudness calculation >> >> >>> I'm looking for a computationally efficient way to do a frequency >>> dependent amplitude compensation. The emphasis is much less accuracy >>> (especially not for different loudness levels) but more a reasonable >>> approximation - maybe a polynomial. >>> >>> Any hints? >>> >>> -- >>> >>> >>> >>> >>> >>> >>> >>> >>> . >>> > > -- > > > > > > > > > . >