Lines Matching refs:np
2 import numpy as np namespace
22 samples=np.random.randn(NBSAMPLES)
23 coefs=np.random.randn(NUMSTAGES*5)
35 coefs=np.reshape(np.hstack((np.insert(sos[:,:3],1,0.0,axis=1),-sos[:,4:])),n*6)
37 coefs=np.reshape(np.hstack((sos[:,:3],-sos[:,4:])),n*5)
53 phase = np.random.rand()*2.0 * math.pi
54 z = np.exp(1j*phase)
56 phase = np.random.rand()*2.0 * math.pi
57 amplitude = np.random.rand()*0.7
58 p = np.exp(1j*phase) * amplitude
60 zeros += [z,np.conj(z)]
61 poles += [p,np.conj(p)]
73 t = np.linspace(0, 1,NB)
75 …sig = Tools.normalize(np.sin(2*np.pi*5*t)+np.random.randn(len(t)) * 0.2 + 0.4*np.sin(2*np.pi*20*t))
83 p0 = np.exp(1j*0.05) * 0.98
84 p1 = np.exp(1j*0.25) * 0.9
85 p2 = np.exp(1j*0.45) * 0.97
87 z0 = np.exp(1j*0.02)
88 z1 = np.exp(1j*0.65)
89 z2 = np.exp(1j*1.0)
94 [z0,np.conj(z0),z1,np.conj(z1),z2,np.conj(z2)]
95 ,[p0, np.conj(p0),p1, np.conj(p1),p2, np.conj(p2)]
136 samples=np.random.randn(b)
139 samplesB=np.random.randn(b)
142 stereo = np.empty((samples.size + samplesB.size,), dtype=samples.dtype)
152 stereoOutput = np.empty((output.size + outputB.size,), dtype=output.dtype)