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

Lecture01

• receiver_operating_characteristic.py
• bayes_risk.py

Lecture02

• vector_signal_detection.py
• pre_whitening.py

Lecture04

• multiple_hypotheses.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