wavelet-buffer

A python wrapper for WaveletBuffer Framework

Install from PyPI

pip install wavelet-buffer

Install from repo

pip install git+https://github.com/panda-official/WaveletBuffer.git

Examples

import numpy as np
from wavelet_buffer import WaveletBuffer, WaveletType, denoise

signal = np.sin(np.linspace(0, np.pi, 100) * 10)
print(f"Original signal: {signal[0:10]}")

buffer = WaveletBuffer(signal_shape=signal.shape, signal_number=1,
                       decomposition_steps=2, wavelet_type=WaveletType.DB3)

# Denoise and serialize data
buffer.decompose(signal, denoise.Threshold(0, 0.05))
arch = buffer.serialize(compression_level=16)

print(f"Size of archive: {len(arch)} bytes")

# Restore data from archive
buffer: WaveletBuffer = WaveletBuffer.parse(arch)
restored_signal = buffer.compose()
print(f"Restored signal: {restored_signal[0:10]}")

for more examples please check examples/ folder