def create_test_time_data(nsamples):
"""
creates test data for a single moving monopole emitting white noise
Parameters
----------
speed : float
source velocity in m/s.
Returns
-------
None.
"""
n1 = WNoiseGenerator(sample_freq=SFREQ, numsamples=nsamples, seed=SEED)
p1 = MovingPointSource(signal=n1,
mics=MGEOM,
trajectory=TRAJ,
conv_amp=CONV_AMP)
wh5 = WriteH5(source=p1, name=FNAME)
print(50 * "#")
print(f"create {FNAME} ...")
print(f"num samples: {nsamples}, pass-by time: {t_passby}s")
print(50 * "#")
wh5.save()
def run():
from os import path
from acoular import __file__ as bpath, MicGeom, WNoiseGenerator, PointSource,\
Mixer, WriteH5, TimeSamples, PowerSpectra, RectGrid, SteeringVector,\
BeamformerBase, L_p
from pylab import figure, plot, axis, imshow, colorbar, show
# set up the parameters
sfreq = 51200
duration = 1
nsamples = duration * sfreq
micgeofile = path.join(path.split(bpath)[0], 'xml', 'array_64.xml')
h5savefile = 'three_sources.h5'
# generate test data, in real life this would come from an array measurement
mg = MicGeom(from_file=micgeofile)
n1 = WNoiseGenerator(sample_freq=sfreq, numsamples=nsamples, seed=1)
n2 = WNoiseGenerator(sample_freq=sfreq,
numsamples=nsamples,
seed=2,
rms=0.7)
n3 = WNoiseGenerator(sample_freq=sfreq,
numsamples=nsamples,
seed=3,
rms=0.5)
p1 = PointSource(signal=n1, mics=mg, loc=(-0.1, -0.1, 0.3))
p2 = PointSource(signal=n2, mics=mg, loc=(0.15, 0, 0.3))
p3 = PointSource(signal=n3, mics=mg, loc=(0, 0.1, 0.3))
pa = Mixer(source=p1, sources=[p2, p3])
wh5 = WriteH5(source=pa, name=h5savefile)
wh5.save()
# analyze the data and generate map
ts = TimeSamples(name=h5savefile)
ps = PowerSpectra(time_data=ts, block_size=128, window='Hanning')
rg = RectGrid( x_min=-0.2, x_max=0.2, y_min=-0.2, y_max=0.2, z=0.3, \
increment=0.01 )
st = SteeringVector(grid=rg, mics=mg)
bb = BeamformerBase(freq_data=ps, steer=st)
pm = bb.synthetic(8000, 3)
Lm = L_p(pm)
# show map
imshow( Lm.T, origin='lower', vmin=Lm.max()-10, extent=rg.extend(), \
interpolation='bicubic')
colorbar()
# plot microphone geometry
figure(2)
plot(mg.mpos[0], mg.mpos[1], 'o')
axis('equal')
show()
from pylab import subplot, imshow, show, colorbar, plot, transpose, figure, \
psd, axis, xlim, ylim, title, tight_layout, text
freq = 48000
sfreq = freq / 2 #sampling frequency
duration = 1
nsamples = freq * duration
datafile = 'cry_n0000001.wav'
micgeofile = path.join(path.split(bpath)[0], 'xml', 'array_64_8mic.xml')
h5savefile = 'cry_n0000001.wav'
m = MicGeom(from_file=micgeofile)
n = WNoiseGenerator(sample_freq=sfreq, numsamples=nsamples, seed=1) #1pascal
p = PointSource(signal=n, mpos=m, loc=(-0.1, -0.1, 0.3))
p1 = Mixer(source=p)
wh5 = WriteH5(source=p, name=h5savefile)
wh5.save()
#definition the different source signal
r = 52.5
nsamples = long(sfreq * 0.3)
n1 = WNoiseGenerator(sample_freq=sfreq, numsamples=nsamples)
s1 = SineGenerator(sample_freq=sfreq, numsamples=nsamples, freq=freq)
s2 = SineGenerator(sample_freq=sfreq, numsamples=nsamples, freq=freq, \
phase=pi)
#define a circular array of 8 microphones
m = MicGeom('array_64_8mic.xml')
m.mpos_tot = array([(r*sin(2*pi*i+pi/8), r*cos(2*pi*i+pi/8), 0) \
for i in linspace(0.0, 1.0, 8, False)]).T
t = MaskedTimeSamples(name=datafile)
# 3rd Octave Filter #=============================================================================== fi = FiltFiltOctave(source=un, band=freq, fraction='Third octave') #============================================================================== #write to H5 File #============================================================================== # # write Signal to wav file # ww = WriteWAV(source = p0) # ww.channels = [0,27] # ww.save() # write H5 File h5f1 = WriteH5(name='ps', source=ps).save() #============================================================================== #load H5 File #============================================================================== #load from h5 File mt1 = MaskedTimeSamples(name='ps') #============================================================================== #fixed focus time domain beamforming point source #============================================================================== bt_ps = BeamformerTime(source=ps, grid=g, mpos=m, c=c0) bt_ps_h5 = BeamformerTime(source=mt1, grid=g, mpos=m, c=c0) btSq_ps = BeamformerTimeSq(source=ps, grid=g, mpos=m, r_diag=True, c=c0)
