pywavelets_haar_dwt_and_inverse_transform_quickstart.py

1import pywt
2
3# Data sequence
4data = [1, 2, 3, 4, 5, 6, 7, 8]
5
6# Single level Discrete Wavelet Transform
7# Returns approximation (cA) and detail (cD) coefficients
8(cA, cD) = pywt.dwt(data, 'haar')
9
10print("Approximation coefficients (cA):")
11print(cA)
12
13print("\nDetail coefficients (cD):")
14print(cD)
15
16# Inverse Discrete Wavelet Transform
17# Reconstructs the signal from coefficients
18reconstructed_data = pywt.idwt(cA, cD, 'haar')
19
20print("\nReconstructed data:")
21print(reconstructed_data)