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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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