Lines Matching refs:np
2 import numpy as np namespace
18 return(a.reshape(np.size(a)).view(dtype=np.float64))
21 return(np.random.randn(nb))
26 time = np.arange(0,nb)
27 return(np.sin(2 * np.pi * f * time/nb))
34 return(np.concatenate((np.zeros(n), r*np.ones(n))))
38 ifft = np.copy(fft)
40 fft = np.array([x/2**scaling[j] for x in fft])
50 rfft=np.insert(rfft, 1, rfft[-1])
52 rifft = np.copy(rfft)
54 rfft=np.insert(rfft, 1, 0.0)
55 rifft = np.copy(rfft)
59 rfft = np.array([x/2**scaling[j] for x in rfft])
60 rifft = np.hstack((rfft,rfft))
62 rifft[rfft.size+1:2*rfft.size:2] = np.flip(rfft[0:rfft.size-1:2])
63 rifft[rfft.size+2:2*rfft.size:2] = -np.flip(rfft[1:rfft.size-1:2])
79 sigc = np.array([complex(x) for x in sig])
90 sigc = np.array([complex(x) for x in sig])
98 data1=np.random.randn(512)