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In Oppenheim's Discrete Time Signal Processing there's on p. 323 no limited band in both time and frequency - wouldn't that violate the Heisenberg Principle?

Systems with Linear Phase on p.322

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  • $\begingroup$ what is the $grd$ operator ? $\endgroup$ – AlexTP Apr 29 '17 at 9:21
  • $\begingroup$ @AlexTP: "group delay" $\endgroup$ – Matt L. Apr 29 '17 at 10:32
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Not at all. The Uncertainty Principle says that a function cannot be both limited in time and limited in frequency. More specifically, the product of the signal's widths in time and in frequency (i.e., its time extension $\Delta_t$ and its bandwidth $\Delta_f$) is bounded from below:

$$\Delta_t\cdot\Delta_f\ge C\tag{1}$$

where the constant $C$ depends on the definition of bandwidth and time extension.

Note that $(1)$ is a lower bound, not an upper bound, so both widths can be infinite without contradicting $(1)$.

If a function is sharply localized in time then, by the Uncertainty Principle, it cannot be sharply localized in frequency, and vice versa. However, if - as in your example - a function is NOT localized in one of the two domains then this does not mean that it must be localized in the other domain. In may very well be non-localized in both domains, as is the case in the given example for non-integer $\alpha$.

Also take a look at this question and its answers for more details on the the Uncertainty Principle.

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    $\begingroup$ @Starhowl: The author clearly understands the principle. And my answer is very much related to your question. Your question comes from a misunderstanding of the uncertainty principle. In my answer I tried to point out that a signal with infinite time extension and infinite bandwidth clearly does NOT violate the uncertainty principle. $\endgroup$ – Matt L. Apr 29 '17 at 10:31
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    $\begingroup$ @Starhowl, your question wrongly implies that, if a signal's frequency spectrum has infinite support, than its time domain support must be finite according to uncertainty principle. As Matt L described, the principle does not say that. For signal processing applications it's interpreted in the way that a signal cannot be both time and frequency limited... So just like a Gaussian signal $x(t)=e^{-a|t|}$, it can have infinite support in both time and frequency domains. $\endgroup$ – Fat32 Apr 29 '17 at 11:15

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