MDCTN 🧶
Multidimensional Modified Discrete Cosine Transforms
pip install mdctn- 1-D MDCT & IMDCT
- n-D MDCT & IMDCT
- Windowing support
- Helper functions for signals
1-D MDCT on signals
Signals are wrapped around so all the data is stored in the same number of bits.
import numpy as np
from mdctn import mdct, imdct
x = np.arange(24)
y = mdct(x, N=16)
z = imdct(y, N=16)
np.allclose(x, z) # True1-D Pure MDCT
The core MDCT function
import numpy as np
from mdctn import core
x = np.arange(6) # [0, 1, 2, 3, 4, 5]
y_1 = core.mdct(x[0:4]) # [-2.50104055, -0.49476881]
y_2 = core.mdct(x[2:6]) # [-4.34879961, -1.26013568]
z_1 = core.imdct(y_1) # [-0.5, 0.5, 2.5, 2.5]
z_2 = core.imdct(y_2) # [-0.5, 0.5, 4.5, 4.5]
z = (z_1[2:4] + z_2[0:2]) # [2.0, 3.0]Benchmarks
See benchmarks.ipynb
