What is the DFT of a constant?

In summary, we discussed the discrete Fourier transform (DFT) of a constant value and how it can be calculated using the DFT formula. We also mentioned that the DFT reduces to a delta function at k = 0. This information will be helpful in solving the actual problem at hand.
  • #1
Mr.Tibbs
24
0
The problem:

What is the discrete Fourier transform of a constant value?

Example DFT{2}

This is not my homework problem but will help me immensly in solving the actual problem.

DFT formula:

X[itex]_{k}[/itex] =[itex]\sum[/itex]x[n] * e[itex]^{\frac{-2\pi kn}{N}}[/itex] from n = 0 to N-1

where N is the number of samples you can take in a 2[itex]\pi[/itex] period.
 
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  • #2
So x[n] = 2 for all n.

That means you can take x[n] outside the summation, and you're left with a sum of exponential terms. Do you know how to work that out?

Naively I would expect it to reduce to an impulse (delta function) at k = 0, or perhaps regularly repeating impulses, due to the discrete nature of the DFT. I've have to sit down and think about it some more.
 
  • #3
Ah, that helps out immensely. As it turns out it does turn into a delta function at k = 0. Thank you so much for clearing that up for me.
 

1. What is the DFT of a constant?

The DFT (Discrete Fourier Transform) of a constant is a sequence of identical values. This is because the DFT is a mathematical operation that transforms a discrete signal from its original domain (often time or space) to a representation in the frequency domain.

2. Why is the DFT of a constant important?

The DFT of a constant is important because it serves as a reference point for understanding the Fourier transform. It also helps in understanding the properties of the DFT and its applications in signal processing, image processing, and data compression.

3. How is the DFT of a constant calculated?

The DFT of a constant can be calculated using the formula X(k) = N * x(0), where X(k) is the DFT sequence, N is the length of the input sequence, and x(0) is the constant value of the input sequence. This formula can also be represented in matrix form as X = [N, N, ..., N], where X is a vector of length N.

4. Is the DFT of a constant always the same?

Yes, the DFT of a constant will always result in a sequence of identical values, regardless of the input signal. This is because the DFT treats all input signals as periodic, and a constant signal is already periodic with a period of 1.

5. Can the DFT of a constant have any frequency components?

No, the DFT of a constant does not have any frequency components. This is because a constant signal has a frequency of 0 Hz, and the DFT only shows the frequency components of a signal above 0 Hz. Therefore, the DFT of a constant only has a DC component (0 Hz) and no other frequency components.

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