Python Notebooks

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

Suggestion You can toggle the view (hide the code and only see the real output) of the Marimo notebooks by clicking on the button in the bottom right corner (below the "Save file" button). Alternatively, you can use the keyboard shortcut Ctrl+..

Additional Material

• monte_carlo.py

Lecture01

• bayes_risk.py
• receiver_operating_characteristic.py

Lecture02

• vector_signal_detection.py
• pre_whitening.py

Lecture04

• bayesian_detection_concepts.py
• multiple_hypotheses.py

Lecture05

• crb_freq_estimation.py

Lecture06

• cramer_rao_bound_localization.py
• linear_regression.py

Lecture07

• blue_non_gaussian_noise.py
• fir_filter_mvu.py

Lecture08

• ml_freq_estimation.py

Lecture09

• angle_of_arrival.py

Lecture11

• glrt_linear_gauss.py

Lecture12

• glrt_unknown_noise_power.py