Python Notebooks

On this page, you can find a list of Marimo notebooks that are supplementary material for the course.

Additional Material

• monte_carlo.py

Lecture1

• bayes_risk.py
• receiver_operating_characteristic.py

Lecture2

• pre_whitening.py
• vector_signal_detection.py

Lecture4

• multiple_hypotheses.py

Lecture6

• cramer_rao_bound_localization.py
• linear_regression.py

Lecture7

• fir_filter_mvu.py
• blue_non_gaussian_noise.py

Lecture9

• angle_of_arrival.py