def fbeamformers():
bb = BeamformerBase(freq_data=f, steer=st, r_diag=True, cached=False)
be = BeamformerEig(freq_data=f, steer=st, r_diag=True, n=54, cached=False)
#frequency beamformers to test
bbase = BeamformerBase(freq_data=f, steer=st, r_diag=True, cached=False)
bc = BeamformerCapon(freq_data=f, steer=st, cached=False)
beig = BeamformerEig(freq_data=f,
steer=st,
r_diag=True,
n=54,
cached=False)
bm = BeamformerMusic(freq_data=f, steer=st, n=6, cached=False)
bd = BeamformerDamas(beamformer=bb, n_iter=10, cached=False)
bdp = BeamformerDamasPlus(beamformer=bb, n_iter=100, cached=False)
bo = BeamformerOrth(beamformer=be,
eva_list=list(range(38, 54)),
cached=False)
bs = BeamformerCleansc(freq_data=f, steer=st, r_diag=True, cached=False)
bcmf = BeamformerCMF(freq_data=f,
steer=st,
method='LassoLarsBIC',
cached=False)
bl = BeamformerClean(beamformer=bb, n_iter=10, cached=False)
bf = BeamformerFunctional(freq_data=f,
steer=st,
r_diag=False,
gamma=3,
cached=False)
bgib = BeamformerGIB(freq_data=f,
steer=st,
method='LassoLars',
n=2,
cached=False)
return (bbase, bc, beig, bm, bl, bo, bs, bd, bcmf, bf, bdp, bgib)
bdp = BeamformerDamasPlus(beamformer=bb, n_iter=100, cached=False)
bo = BeamformerOrth(beamformer=be, eva_list=list(range(38, 54)), cached=False)
bs = BeamformerCleansc(freq_data=f, steer=st, r_diag=True, cached=False)
bcmf = BeamformerCMF(freq_data=f,
steer=st,
method='LassoLarsBIC',
cached=False)
bl = BeamformerClean(beamformer=bb, n_iter=100, cached=False)
bf = BeamformerFunctional(freq_data=f,
steer=st,
r_diag=False,
gamma=4,
cached=False)
bgib = BeamformerGIB(freq_data=f,
steer=st,
method='LassoLars',
n=10,
cached=False)
class acoular_test(unittest.TestCase):
#test if microfon positions are correct
def test_mic_positions(self):
self.assertAlmostEqual(m.mpos.sum() / mpos_num.sum(), 1, 3)
#test if grid points are correct
def test_grid_positions(self):
self.assertAlmostEqual(g.gpos.sum() / grid_pos_num.sum(), 1, 3)
#test steering vector calculation