Two different definitions for sinc ?

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SUMMARY

The discussion clarifies the differing definitions of the sinc function in mathematics and digital signal processing (DSP). The two definitions are: sinc(t) = sin(pi*t)/(pi*t) used in DSP, and sinc(t) = sin(t)/t used in mathematics. This distinction leads to different Fourier Transform results for the rectangular function rect(t/tow), with the DSP definition yielding sinc(w*tow/2*pi) and the mathematical definition yielding sinc(w*tow/2). Understanding the context of usage is essential for proper application.

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reddvoid
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i've seen in some texts they use
sin(pi t)/pi t = sinc(t)
and in some they've used just
sin(t)/t = sinc(t)
each gives different answer
for example
if i want to find FT of rect(t/tow)
using former one gives
sinc(w tow/2 pi)
and if i use former one i get
sinc (w tow / 2)

so how to know which one to use ??
Thnx. . . .
 
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Check how the text defines the sinc.
If it is a proper text, it should define it.

According to wiki, your first variant is used in digital signal processing and information theory, while the second is used in mathematics.
 
I can confirm I Like Serena's post. First is the definition of sinc function in signal processing. I think we like that because sin(pi*t)/pi*t effectively eliminates the pi from the period. And you get "nice" numbers on the x-axis.

Although sinc isn't periodic, but sin is.
 
but these two are not equivalent right.
i mean first one goes to zero @ 1,2,3,4. . . .
And second one goes to zero at pi, 2pi,3pi. . . . .
So
sinc function in math is different from sinc function in signal processing ?
 
Correct.

This is not the only function that is ambiguous.
Consider the log function, which can either be the natural log or the 10-log.
Often this is not even specified, so you are supposed to deduce it from the context.
 
reddvoid said:
So
sinc function in math is different from sinc function in signal processing ?

It would be better to say that the sinc function in analog signal processing theory is (sometimes) different from the sinc function in digital signal processing.

In DSP the "obvious" way to number the sampled data points is 0, 1, 2, 3, etc, not 0, π, 2π, 3π, etc.
 
It is analogous to defining the Fourier transform, which differs in signal processing and physics by details like normalization by 1, 1/2π or sqrt(1/2π).
 

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