def bias():
from matplotlib import pyplot as plot
synth = WaveSynth(samplerate=1000)
waves = []
waves.append(synth.sine(2, 4, 0.02, bias=0.1))
waves.append(synth.triangle(2, 4, 0.02, bias=0.2))
waves.append(synth.pulse(2, 4, 0.02, bias=0.3, pulsewidth=0.45))
waves.append(synth.harmonics(2, 4, [(n, 1/n) for n in range(1, 8)], 0.02, bias=0.4))
waves.append(synth.sawtooth(2, 4, 0.02, bias=0.5))
waves.append(synth.sawtooth_h(2, 4, 7, 0.02, bias=0.6))
waves.append(synth.square(2, 4, 0.02, bias=0.7))
waves.append(synth.square_h(2, 4, 7, 0.02, bias=0.8))
waves.append(synth.white_noise(4, amplitude=0.02, bias=0.9))
for wave in waves:
plot.plot(wave.get_frame_array())
plot.title("All waveforms biased to levels above zero")
plot.show()
def bias():
from matplotlib import pyplot as plot
synth = WaveSynth(samplerate=1000)
waves = []
waves.append(synth.sine(2, 4, 0.02, bias=0.1))
waves.append(synth.triangle(2, 4, 0.02, bias=0.2))
waves.append(synth.pulse(2, 4, 0.02, bias=0.3, pulsewidth=0.45))
waves.append(
synth.harmonics(2,
4, [(n, 1 / n) for n in range(1, 8)],
0.02,
bias=0.4))
waves.append(synth.sawtooth(2, 4, 0.02, bias=0.5))
waves.append(synth.sawtooth_h(2, 4, 7, 0.02, bias=0.6))
waves.append(synth.square(2, 4, 0.02, bias=0.7))
waves.append(synth.square_h(2, 4, 7, 0.02, bias=0.8))
waves.append(synth.white_noise(4, amplitude=0.02, bias=0.9))
for wave in waves:
plot.plot(wave.get_frame_array())
plot.title("All waveforms biased to levels above zero")
plot.show()
