def run(self):
ts = env.get_ts()
cycles = self._freq * ts + self._phase / np.pi / 2
frac, _ = np.modf(cycles)
ys = np.abs(frac - 0.5) * 4 - 1 + self._bias
return ys
def run(self, s):
ts = env.get_ts()
self._ax.set_xlim(env.sim_time, env.sim_time + env.get_duration())
self._ax.set_ylim(-1, 1)
self._ln.set_data(ts, s)
if self._cb is not None:
self._cb()
plt.pause(0.001)
def run(self):
t = env.get_ts()
s = tri()
f = np.fft.rfft(s)
a = np.abs(f)
p = np.angle(f)
ff = np.fft.rfftfreq(t.size, 1 / env.sim_fs)
plt.clf()
plt.plot(ff, a * 2 / env.sim_chunk)
plt.show()
def run(self):
return self._amp * np.cos(2 * np.pi * self._freq * env.get_ts() +
self._phase) + self._bias
def run(self, *args, **kwargs):
raise self._f(env.get_ts(), *args, **kwargs)