Toolbox for Maths,Signal,Image Teaching @ CPE
Project description
A toolbox used for practical sessions at CPE Lyon. Developped and maintained for teaching usage only!
Installation
In a Jupyter Notebook
!pip install -U imicpe
In a local environment
pip install -U imicpe
Usage example
The example below uses the mse method available in the optim.metrics subpackage of imicpe.
import numpy as np
from imicpe.optim import metrics
N=10000
x=np.random.randn(1,N)
ref = np.zeros((1,N))
mse=metrics.mse(x,ref)
print(mse)
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