ys = np.linspace(-1, 1, 50)
X, Y = np.meshgrid(xs, ys)
vals = np.linspace(0, 180.0 / np.pi, 100)
phi = np.ones((len(vals), 50, 50), dtype=np.float64)
for i, val in enumerate(vals):
phi[i] *= val
R = 1 - np.sqrt(X**2 + Y**2)
samples = np.cos(2 * np.pi * X + phi) * R
timestamps = np.arange(0, 2, 0.02)
s_map = Signal(samples=samples,
timestamps=timestamps,
name="Variable Map Signal",
unit="dB")
s_map.plot()
prod = s_float64 * s_uint8
prod.name = "Uint8_Signal * Float64_Signal"
prod.unit = "*"
prod.plot()
pow2 = s_uint8**2
pow2.name = "Uint8_Signal ^ 2"
pow2.unit = "u1^2"
pow2.plot()
allsum = s_uint8 + s_int32 + s_float64
allsum.name = "Uint8_Signal + Int32_Signal + Float64_Signal"
allsum.unit = "+"
allsum.plot()
s_float64 = Signal(samples=np.array(list(range(2000, -1000, -1000)),
dtype=np.int32),
timestamps=timestamps,
name='Float64_Signal',
unit='f8')
prod = s_float64 * s_uint8
prod.name = 'Uint8_Signal * Float64_Signal'
prod.unit = '*'
prod.plot()
pow2 = s_uint8**2
pow2.name = 'Uint8_Signal ^ 2'
pow2.unit = 'u1^2'
pow2.plot()
allsum = s_uint8 + s_int32 + s_float64
allsum.name = 'Uint8_Signal + Int32_Signal + Float64_Signal'
allsum.unit = '+'
allsum.plot()
# inplace operations
pow2 *= -1
pow2.name = '- Uint8_Signal ^ 2'
pow2.plot()
# cut signal
s_int32.plot()
cut_signal = s_int32.cut(start=0.2, stop=0.35)
cut_signal.plot()
