3 from scipy import signal
78 filtered_x = signal.lfilter([3,2,1.], 1.0, [1,2,3,4,5,1,2,3,4,5])
230 signal = np.cos(2 * np.pi * np.arange(nb) / nb)  variable
232 result=np.fft.fft(signal)
234 signalR = imToReal1D(signal)
242 signal = signal / 10.0  variable
243 result=np.fft.fft(signal)
246 signalR = imToReal1D(signal)
255 signal = signal / 10.0  variable
256 result=np.fft.fft(signal)
259 signalR = imToReal1D(signal)
271 signal = np.cos(2 * np.pi * np.arange(nb) / nb)  variable
272 signalRQ31=toQ31(signal)
274 result=np.fft.fft(signal)
284 signal = np.cos(2 * np.pi * np.arange(nb) / nb)  variable
285 signalRQ15=toQ15(signal)
287 result=np.fft.fft(signal)
299 signal = np.cos(2 * np.pi * np.arange(nb) / nb)  variable
300 result=dct(signal,4,norm='ortho')
303 signal = signal / 10.0  variable
304 result=dct(signal,4,norm='ortho')
305 signalQ31=toQ31(signal)
317 signal = np.cos(2 * np.pi * np.arange(nb) / nb)  variable
318 signal = signal / 10.0  variable
319 result=dct(signal,4,norm='ortho')
320 signalQ15=toQ15(signal)
333 plot(np.absolute(signal))