How Are Step Functions Used in Calculating Fourier Transforms?

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Discussion Overview

The discussion revolves around the use of step functions in calculating Fourier transforms, specifically focusing on the expression involving the unit step function and its evaluation over certain intervals. Participants explore the algebraic manipulation of these functions and their implications for the Fourier transform of a given signal.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant presents a solution from a book involving the Fourier transform of a signal expressed in terms of the unit step function, u(n).
  • Another participant questions how the expression u(n+N)-u(n-N-1) is evaluated to equal 1 for -N<=n<=N and 0 otherwise, suggesting a number line approach to visualize the intervals.
  • A different participant attempts to solve the problem algebraically, providing specific examples for different ranges of n and suggesting that the function equals 1 for n between -N and N+1, which conflicts with the book's solution.
  • Another participant points out the need to consider the endpoints of the intervals and the integer nature of n and N, questioning the previous algebraic reasoning.

Areas of Agreement / Disagreement

Participants express differing views on the evaluation of the step function expression, with no consensus reached on the correct interpretation or solution. The discussion remains unresolved regarding the correct evaluation of the function and its implications for the Fourier transform.

Contextual Notes

There are limitations in the assumptions made about the values of n and N, as well as the treatment of endpoints in the intervals. The discussion highlights potential discrepancies between participants' algebraic manipulations and the established solution from the book.

mickonk
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Hi. Here is one example from my book.
Calculate Fourier transform of signal:

p1.png


Here is solution:
We can write x(n) as:

p2.png
,

where x1(n) is u(n+N)-u(n-N-1). We can write:

p3.png


(we used that cos(n)=(1/2)*(exp(j*n)+exp(-j*n)).
Using properties of Fourier transform of discrete signal:

p4.png
,
Fourier transform of our signal will be:

p5.png


We will find Fourier transform of x1(n):

p7.png
How they calculated that u(n+N)-u(n-N-1) equals 1 for -N<=n<=N and 0 for other values of N?
 
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mickonk said:
How they calculated that u(n+N)-u(n-N-1) equals 1 for -N<=n<=N and 0 for other values of N?
Try setting up a number line with -N and N + 1 on it, and then mark the intervals on that number line where u(n + N) and u(n - N - 1) are either 0 or 1.

You should be able to use that to say something about where u(n + N) - u(n - N - 1) is then 0 or 1.
 
Here is how I tried to solve this algebraically.
We have function u(n+N)-u(n-(N+1)). Let's say N is some positive number, for example N=1.
1. When n is less then -N, for example n=-2, we have u(n+N)-u(n-(N+1))=0-0=0.
2. When -N<n<N+1 , for example n=-0.5, we have u(n+N)-u(n-(N+1))=1-0=1.
3. When n>N+1, for example n=3, we have u(n+N)-u(n-(N+1))=1-1=0.
So our function equals 1 for n between -N and N+1 but solution from my book doesn't agree with it?
 
mickonk said:
Here is how I tried to solve this algebraically.
2. When -N<n<N+1 , for example n=-0.5, we have u(n+N)-u(n-(N+1))=1-0=1.
Take care to consider the endpoints of your intervals. What happened to -N?

Also, n and N are integers.

mickonk said:
3. When n>N+1, for example n=3, we have u(n+N)-u(n-(N+1))=1-1=0.
What happened to N + 1?
 

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