|Parameter||alias||Brief description||Typical range|
|cutoff||lpf||Low-pass filter: cutoff freq (hertz)||0 - > x|
|resonance||lpq res||Low-pass resonance Q||0.0 - 1.0|
|hcutoff||hpf||High-pass filter: cutoff freq (hertz)||0 -> x|
|hresonance||hpq||High-pass resonance Q||0.0 - 1.0|
|bandf||bpf||Bandpass filter - cutoff freq (hertz)||0 -> x|
|bandq||bpq||Bandpass resonance Q||1 - 100+|
|djf||djf||DJ Filter: Low pass: 0 - 0.5, High pass: 0.5 - 1.0||0.0 - 1.0|
|hbrick||Spectral high pass Mads Kjeldgaard||0.0 - 1.0|
|lbrick||Spectral low pass Mads Kjeldgaard||0.0 - 1.0|
- Take caution with filter resonance for
hpf. Values > 0.5 can be harsh!
- Resonance for bandpass filter
bandqis different and often needs higher values (over 10) to be perceived.
This example shows a band pass filter cycling through the harmonic series. Notice the high resonance setting. With
bandq=1 the filtering effect is too small to be heard.
# fire is a SuperDirt sample with a spectrum like colored noise Pa * d('fire', legato=1.5, bandf='100 200 400 600 700 800 900', bandq='100')
Other filter examples:
# low pass randomized @swim def test_fx(p=0.25): D('jvbass', midinote='C|C|Eb|G|Bb', cutoff='rand*7000', resonance='rand/2', amp=1 ) again(test_fx, p=0.5) # djf @swim def djf(p=1, i=0): D('supersaw', n='40 52 64 52', djf=random(), i=i) again(djf, p=1, i=i+1)
Included in Superdirt, engineered by Mads Kjeldgaard. Width and number of teeth are controlled by one floating point number. Note that as you increase the comb, more frequencies will be filtered out, resulting in reduced gain.
|Parameter||Brief description||Typical range|
|comb||Spectral comb filter||0.0 - 1.0|
@swim def test_fx(p=0.25): D('jvbass', midinote='C|C|Eb|G|Bb', cutoff='rand*7000', resonance='rand/2', amp=1 ) again(test_fx, p=0.5)