def nb_sim(self):
for i in range(len(sim_freqs)):
# pick a center frequence for sinusoid
f=sim_freqs[i]
# Calculate effective angle based on its bearing
b=self.d_t * math.cos(sim_bearings[i] * math.pi/180.0)
for j in range(sensors):
# Introduce phase shifts in selected sinusoid in accordance with the sensor ID
dt = float(j) * b
self.t_dt = self.t + dt
self.t_dt *= 2 * math.pi * f
self.t_dt = elm.cos(self.t_dt)
self.t_dt *= 3
# Multiplex phase shifted sinusoids corresponding to a specific sensor
self.data[j,:] += self.t_dt
# # This file is part of OpenVSIP. It is made available under the # license contained in the accompanying LICENSE.BSD file. import numpy as np from numpy import array from vsip import vector, matrix from vsip.math import elementwise as elm a1 = np.arange(16, dtype=float) v1 = vector(array=a1) # Unary functions assert array(elm.cos(v1) == np.cos(a1)).all() assert array(elm.sin(v1) == np.sin(a1)).all() a2 = np.arange(16, dtype=float) v2 = vector(array=a2) # Binary functions assert array(elm.mul(v1, v2) == a1*a2).all() a3 = np.arange(16, dtype=float) v3 = vector(array=a3) # Ternary functions assert array(elm.am(v1, v2, v3) == (a1+a2)*a3).all()
# All rights reserved. # # This file is part of OpenVSIP. It is made available under the # license contained in the accompanying LICENSE.BSD file. import numpy as np from numpy import array from vsip import vector, matrix from vsip.math import elementwise as elm a1 = np.arange(16, dtype=float) v1 = vector(array=a1) # Unary functions assert array(elm.cos(v1) == np.cos(a1)).all() assert array(elm.sin(v1) == np.sin(a1)).all() a2 = np.arange(16, dtype=float) v2 = vector(array=a2) # Binary functions assert array(elm.mul(v1, v2) == a1 * a2).all() a3 = np.arange(16, dtype=float) v3 = vector(array=a3) # Ternary functions assert array(elm.am(v1, v2, v3) == (a1 + a2) * a3).all()
