pywavelets_dwt_idwt_signal_decomposition_and_reconstruction.py

1import pywt
2
3# Define a simple data signal
4data = [1, 2, 3, 4, 5, 6, 7, 8]
5
6# Choose a wavelet (e.g., Daubechies 1, also known as Haar)
7wavelet = 'db1'
8
9# Perform a Single Level Discrete Wavelet Transform
10# cA: Approximation coefficients
11# cD: Detail coefficients
12cA, cD = pywt.dwt(data, wavelet)
13
14print("Approximation coefficients:", cA)
15print("Detail coefficients:", cD)
16
17# Reconstruct the original signal using the Inverse Discrete Wavelet Transform
18reconstructed_data = pywt.idwt(cA, cD, wavelet)
19
20print("Reconstructed signal:", reconstructed_data)