Spectral Estimation Techniques: Correlogram, Blackman–Tukey, Windowed Periodogram, Bartlett, and Welch Methods
1. In the Blackman-Tukey method, how does truncating the autocorrelation function and applying a window affect the spectral estimate?
2. Which scenario would most likely degrade the reliability of the periodogram in estimating a signal’s PSD?
3. In the Bartlett method, why is the variance reduced compared to a basic periodogram, and what is the resulting trade-off?
4. In Welch’s method, how does the use of overlapping segments influence the spectral estimate?
5. When applying a window in a windowed periodogram, what is the **key effect** on the frequency domain representation?
6. The correlogram method assumes a key property about the signal to compute the PSD. What is that assumption?
7. Which of the following best distinguishes the Blackman-Tukey method from the correlogram?
8. What is a key limitation of the windowed periodogram despite its leakage-reduction capability?
9. In Welch's method, which configuration would most effectively balance resolution and variance reduction?
10. Which method is most appropriate when the goal is to estimate PSD from autocorrelation with minimal spectral leakage and controlled resolution?