Are you trying to build for Apple Silicon? I

Thank you whale! Nice to see its a abstraction than an external

@complex
What does the vol~ external do in your patch? Also from which library is it from? Best Regards

Here are all available Pure Data Filters collected as automatonism modules in action:

In your Boca Ladder abstraction i mixed the normal tanh with the analog clipper,which in my opinion gives the best results. If in exp~ the quotient is ==5 , only analog clipping is used via switch. if both mixed are together the sounds gets some superb irregular resonances. the bite parameter in the module amplifies the resonance:

i also spent a oversampling switcher for 2/4 *oversampling, where with 4 OS the snapping of modulation sources sounds greater
imho.

Here is the test-file
Battle of the filters Vol.zip

Thank you padovani, saw this on Facebook. Great sequencer!

Bytheway i post the the Github link for your library:
https://github.com/zepadovani/planifolia

OId i wanted it name Matrixoid first

The Battle of the Pure Data Filters has begun:

Battle of the filters Vol1.zip
Play with the decay Modul and the fm parameter within the filter modules!

Hey OID i have read the article a year ago... You had posted this in the Karlsen thread. Should read it again a very nice article.

Bythe way in one hour the battle of the Filters begin
stay tuned!

Ah ok! This is great, im testing it now. Thanx OID and Bocanegra... Trying to implement it as a Automatonism Module now .

Hmm wouldn't be far from this Oid to make a Oberheim 12db Filter?

https://www.kvraudio.com/forum/viewtopic.php?p=8194407

"I'm implementing a VA LadderFilter following Will Pirkle's synth book. A cascade of four VA one-pole filters is used to achieve the filter. However, there's a twist. From what is called Oberheim Variations, more filter responses (LP, BP, HP, each 2-pole or 4-pole) are achieved.

It is done by taking the outputs of each cascaded stage separately as well as the input and mixing them together following a set of coefficients A through E. So the equation goes like:

output = A * (input + feedback) + B * LPF1 + C * LPF2 + D * LPF3 + E * LPF4

I have the coefficients for the above mentioned filter types, but I recon there is more to be discovered.

The book references a research paper by Välimäki and Huovilainen, where these coefficients are taken from. However, the paper doesn't explain how the coefficients came to be.
A further reference points towards a service manual for the Oberheim Xpander. There's several relevant information on pages 26 and 27, but I don't see the connection between the provided information and the coefficients I already have.

So I was wondering if anybody could point me in the right direction, how to obtain the rest of the coefficients. I am particularly after the 3- and 1-pole versions, notch-filters and allpass-variants."

So the only missing piece in the puzzle are the A-E coeficients.

From the KVR Thread:
5.5 of VAFilterDesign (rev 2.1.2) contains an explanation of the principles.

https://archive.org/details/the-art-of-va-filter-design-rev.-2.1.2

Here is also a c++ example of an Oberheim Filter:
https://github.com/ddiakopoulos/MoogLadders/blob/master/src/OberheimVariationModel.h
My math is not so good to understand this