Well, a linear moving average filter is just something that sums a series of samples. If you don't want the average but rather the true sum, either multiply the output by the number of samples or take my abstraction and get rid of the [/~] object.
Gesendet: Dienstag, 08. Dezember 2015 um 12:21 Uhr
Von: "Alexandre Torres Porres" <[email protected]>
An: "Christof Ressi" <[email protected]>
Cc: "Matt Barber" <[email protected]>, "[email protected]" <[email protected]>
Betreff: Re: Re: [PD] Moving Sum object?
Von: "Alexandre Torres Porres" <[email protected]>
An: "Christof Ressi" <[email protected]>
Cc: "Matt Barber" <[email protected]>, "[email protected]" <[email protected]>
Betreff: Re: Re: [PD] Moving Sum object?
cool guys, but i was asking for an average "sum" object :)
2015-12-08 9:19 GMT-02:00 Christof Ressi <[email protected]>:
Hey Matt,
there's no need for the feedback path (and therefore no [block~ 1] ;-))
Just use the following formula:
y[n] = (y[n-1] - x[n-k])/k
where k is the number of samples to be averaged (must be at least 1). see the patch I sent to Alex in my last mail.
it uses [rpole~ 1] for the y[n-1] part and [z~ k] for the x[n-k] part (you can replace the latter one with a [delwrite~] [delread~] pair to make it purely vanilla).
The funny thing about linear moving average filters is, that although it can be implemented as a recursive filter (like in both our patches), it is still a FIR filter (and therefore it defeats the notion that recursive filters are always IIR filters). The impulse response is just a rectangular pulse and therefore finite.
Gesendet: Dienstag, 08. Dezember 2015 um 07:13 Uhr
Von: "Matt Barber" <[email protected]>
An: "Alexandre Torres Porres" <[email protected]>
Cc: "[email protected]" <[email protected]>
Betreff: Re: [PD] Moving Sum object?
Something like this? Almost completely untestsed. :D
On Tue, Dec 8, 2015 at 12:20 AM, Alexandre Torres Porres <[email protected]> wrote:
Talking about averages I wonder if we have an object that sums (in a moving average fashion) a series of samples
cheers
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