Signal Processing Asked by Ruhi on October 24, 2021
I have been trying to use the logic that both X and Y should have same Z transform, but according to the definition, Y is not anti causal.
Hint: Question says $y[n]$ has length $10$, but the alternate DFT coefficients of $y[n]$ i.e. $Y(e^{jomega})|_{omega = 2pi frac{k}{5}}$, matches with $X(e^{jomega})$ evaluated at those $omega$ exactly.
This should draw your attention towards upsampling of 5-point DFT $X(e^{jomega})|_{omega = 2pi frac{k}{5}}$ or equivalently periodization of a length $5$ segment of $x[n]$.
Like upsampling of time-domain sequence by $N$, by inserting $(N-1)$ zeros between samples, shrinks the spectrum in frequency domain and brings $N-1$ more copies of spectrum inside $[-pi, pi]$, similarly, upsampling in frequency domain by inserting $(N-1)$ zeros between DFT samples will create more copies of time-domain sequence.
Answered by DSP Rookie on October 24, 2021
Hint: Solve for the Z-transform of $x(n)$ which is $X(z)$. Then from this solve from $X(e^{jomega})$ with $omega = 2pi k/5$ (the missing j is certainly a typo) and the k's given.
If you are unable to solve the Z-transform, try to use the geometric series directly with the equation for the z-transform and this should help:
$$sum_{n=0}^infty r^n = frac{1}{1-r} space space r<1$$
This should get you past the clueless point.
Answered by Dan Boschen on October 24, 2021
Get help from others!
Recent Answers
Recent Questions
© 2024 TransWikia.com. All rights reserved. Sites we Love: PCI Database, UKBizDB, Menu Kuliner, Sharing RPP