ToolPythonIntermediate
Continuous wavelet transform with PyWavelets: when El Niño went quiet
- W, freqs = pywt.cwt(x, s / DT, wavelet, sampling_period=DT, method="fft",
- return (np.abs(pywt.cwt(e, k_dt, wavelet, method="fft", precision=16)[0]) ** 2).mean(axis=1)
- W_r = pywt.cwt(r, s / DT, wavelet, method="fft", precision=16)[0]
- W_imp = pywt.cwt(impulse, a, wavelet, method="fft", precision=16)[0][:, 1024]
- p16 = np.abs(pywt.cwt(np.sin(2 * np.pi * t / 16), [16 / DT], wavelet, method="fft", precision=16)[0][0]) ** 2
- W_f = pywt.cwt(x * 1.8, s / DT, wavelet, method="fft", precision=16)[0]