Filters in PD

When starting with subtractive synthesis, filters are the first thing to look for. PD offers a couple of builtin filters but additional externals come with nice sounding implementations.


"User-Friendly" Filters

lop~, hip~ and bp~ are the basic non-resonant filters in PD. The PD Floss Manuals on filters give a nice introduction to these builtin one-pole filters. The PD help files also come with examples. Due to the lacking resonance, these filters are not the most interesting ones, musically. They are also called "user-friendly", since they can not become unstable.

With the example one-pole-filters.pd from the repository, different characteristics of the one-pole filters can be compared, using a band-limited sawtooth as input signal. Filter cutoff and quality are controlled with control rate signals:

/images/Sound_Synthesis/subtractive/pd-one-pole-filters.png

Resonant Lowpass Filters

Additional filters can be installed with Deken. Filters and the relevant extensions can be found in the list of external filters . The iemlib, for example, features many useful resonant filters. One is the 8th order resonant lowpass vcf_lp8~. The moog~ filter object from the flatspace ggee library is another good sounding implementation, trying to emulate the Moog Ladder sound. The example resonant-lowpass.pd compares the sound of these filters with a square wave input. For both implementations, all parameters are controlled with audio rate signals. The slider values are thus converted to signals with the line~ object, which is basically a linear interpolation.

/images/Sound_Synthesis/subtractive/pd-resonant-lowpass.png

Exercises

Exercise I

Control the parameters of the resonant lowpass example with temporal envelopes.

Exercise II

Trigger the envelope with a metronome sequencer.

Exercise III

Create a square wave from the sawtooth and use it as input signal (http://write.flossmanuals.net/pure-data/square-waves/).



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