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Küpfmüller's uncertainty principle by Karl Küpfmüller in the year 1924 states that the relation of the rise time of a bandlimited signal to its bandwidth is a constant. :\Delta f\Delta t \ge k with k either 1 or \frac


Proof

A bandlimited signal u(t) with
fourier transform A Fourier transform (FT) is a mathematical transform that decomposes functions into frequency components, which are represented by the output of the transform as a function of frequency. Most commonly functions of time or space are transformed, ...
\hat(f) in frequency space is given by the multiplication of any signal \underline(f) with \hat(f) = with a rectangular function of width \Delta f :\hat(f) = \operatorname \left(\frac \right) =\chi_(f) := \begin1 & , f, \le\Delta f/2 \\ 0 & \text \end as (applying the convolution theorem) :\hat(f) \cdot \hat(f) = (g * u)(t) Since the fourier transform of a rectangular function is a
sinc function In mathematics, physics and engineering, the sinc function, denoted by , has two forms, normalized and unnormalized.. In mathematics, the historical unnormalized sinc function is defined for by \operatornamex = \frac. Alternatively, the u ...
and vice versa, follows : g(t) = \frac1 \int \limits_^ 1 \cdot e^ df = \frac1 \cdot \Delta f \cdot \operatorname \left( \frac \right) Now the first root of g(t) is at \pm \frac , which is the rise time \Delta t of the pulse g(t) , now follows : \Delta t = \frac Equality is given as long as \Delta t is finite. Regarding that a real signal has both positive and negative frequencies of the same frequency band, \Delta f becomes 2 \cdot \Delta f, which leads to k = \frac instead of k = 1


See also

* Heisenberg's uncertainty principle


References


Further reading

* * * {{DEFAULTSORT:Kupfmuller's uncertainty principle Electronic engineering 1924 in science ´