def noise_sim(self):
from numpy import pi, cos
d_t=self.d_t * self.Fs #sensor-to-sensor travel time at end-fire in samples
o_0 = d_t * self.Nsens + 1 # array travel time at end-fire in samples
a_stp = pi/self.Nsim_noise # angle step
bl_attr = vsip.getattrib(self.bl_noise)
for j in range(self.Nsim_noise):
a_crct = cos(float(j) * a_stp)
vsip.randn(self.rand,self.noise)
vsip.firfilt(self.fir,self.noise,self.bl_noise)
vsip.mul(12.0/float(self.Nsim_noise),self.bl_noise,self.bl_noise)
vsip.putlength(self.bl_noise,self.Nts);
for i in range(self.Nsens):
vsip.putoffset(self.bl_noise,int(o_0 + i * d_t * a_crct))
VU_rowview(self.v_data,self.m_data,i)
vsip.add(self.bl_noise,self.v_data,self.v_data)
vsip.putattrib(self.bl_noise,bl_attr);
vsip.add(-vsip.meanval(self.m_data),self.m_data,self.m_data);
def rcfn(t,s,f,l):
a=vsip.create(t,l);
s=vsip.create('rand',(s,1,1,f))
vsip.randn(s,a)
vsip.destroy(s)
return a
def rcfn(t, s, f, l):
a = vsip.create(t, l)
s = vsip.create('rand', (s, 1, 1, f))
vsip.randn(s, a)
vsip.destroy(s)
return a
