Find the Answer to x[n] in a 2-Point DFT

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The 2-point DFT of x[n] is given as X[k] = 2δ[k], indicating that the signal has two frequency components at k = 0 and k = 1. The calculation for x[n] involves the inverse DFT, which includes contributions from both non-zero terms of X[k]. The correct result is x[n] = δ[n] + δ[n−1], reflecting the presence of two impulses in the time domain. The misunderstanding arises from not recognizing that both frequency components contribute equally to the final signal. The discussion clarifies the relationship between the DFT and its inverse, emphasizing the importance of considering all non-zero terms in the calculation.
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Homework Statement


The 2-point DFT of x[n] is given by the expression X[k] = 2δ[k], for k = 0, 1.

Homework Equations


What is x[n]?

The Attempt at a Solution


i know the answer but i don't know how they calculate it
because a delta pulse is only one at k=zero.
x\left[n\right]=\frac{1}{N}\sum _{k=0}^{N-1}X\left[k\right]\cdot e^{j\cdot \frac{2\pi }{N}kn}\:
because k=0
e^{j\cdot \frac{2\pi }{N}kn}\: = 1
So i come to an answer where x[n] = δ[n]
But it is: x[n] = δ[n]+δ[n−1] ? How to they calculate that, i don't understand it
 
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i'm not sure if I understand the problem correctly, but it looks to me that the FT of the signal has only two frequency component, at k = 0 and k=1.
If that is correct, the sum in your attempted solution contains only two non-zero terms: k = 0, and k = 1, both of them are equal to 2.
So, ##x(n) = 2 \cdot e^{j \frac {2 \pi}N 0 \cdot n} + 2 \cdot e^{j \frac {2 \pi}N1 \cdot n}##

Hope that helps
 
uhh no because the answer is x[n] = δ[n]+δ[n−1]
 

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