• tungee

    Are you trying to build for Apple Silicon? I

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  • tungee

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

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  • tungee

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

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  • tungee

    Here are all available Pure Data Filters collected as automatonism modules in action:Bildschirmfoto 2021-09-17 um 14.20.44.png

    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:

    Bildschirmfoto 2021-09-17 um 13.57.34.png
    Bildschirmfoto 2021-09-17 um 13.57.18.png
    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

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  • tungee

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

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

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  • tungee

    OId i wanted it name Matrixoid first:satisfied:

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  • tungee

    The Battle of the Pure Data Filters has begun:
    Bildschirmfoto 2021-09-15 um 01.04.37.png
    Battle of the filters Vol1.zip
    Play with the decay Modul and the fm parameter within the filter modules!

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  • tungee

    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:smile:
    stay tuned!

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  • tungee

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

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  • tungee

    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

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