9.4b Noise filtering labs

Source: Lab ideas from Computational Physics (Landau, Páez, Bordeianu), §9.4. Original drills. Continues 9.4.

Explorer

Pure Python. No NumPy.

Warm up: pick the matching equation among lookalikes (same walk as the theory lesson).

Activity: Autocorr at lag 0

For $N=16$ samples $s_k=1/(1-0.9\sin(2\pi k/N))$ , the discrete autocorrelation at lag $0$ is $A_0=\sum_k s_k^2$ . Print $A_0$ with 10 decimals.

No input.

0/2 solved

9.4b.W1

Using “autocorrelation”, “noise”, and “power”, explain:

How does autocorrelation help recover a signal’s power spectrum in noise?

Minimum 3 words. Your answer must include: “autocorrelation”, “noise”, “power”.

0 words/ 3 min

Meet the writing requirements, then you can open the model answer.