Re: Filter response curve
Re: Filter response curve
- Subject: Re: Filter response curve
- From: Roman Thilenius <email@hidden>
- Date: Tue, 07 Feb 2017 21:46:40 +0100
i guess i am elsewhere.
a "response curve" is normally a graphical plot of frequency vs gain,
and its purpose is to give a useful visual feedback to the user.
the transfer function of a biquad or IIR filter tells the human eye
almost nothing about the sound, you dont see anything at all (except
maybe wether it is symetric or not.)
On Feb 7, 2017, at 6:22 PM, Evan Balster wrote:
A filter's transfer function simultaneously describes its response
to a one-sample impulse and its response to any complex frequency
in the z-domain. There's no need to compromise.
The reason for this? Applying a filter to a signal is the same as
convolving the signal by the filter's impulse response.
Convolution in the time domain, as exemplified by filters, is
identical to multiplication in the frequency domain. Thus we can
look at any point in the transfer function (as evaluated in the z-
domain) and derive the effect the described filter will have on
that frequency.
On Tue, Feb 7, 2017 at 10:11 AM Roman Thilenius
<email@hidden> wrote:
isnt that exactly the same as sending a stream of one spike into the
filter?
i am just not so sure if the transfer function itself really
describes the "response curve" best. :)
On Jan 17, 2017, at 6:30 PM, Evan Balster wrote:
> I must disagree. The cleanest way to compute the transfer
> function, is to compute the transfer function, directly — you'll
> get an exact answer, with minimal computational expense.
_______________________________________________
Do not post admin requests to the list. They will be ignored.
Coreaudio-api mailing list (email@hidden)
Help/Unsubscribe/Update your Subscription:
This email sent to email@hidden