DFT of a finite lengt sequence

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SUMMARY

The discussion focuses on computing the 5-point Discrete Fourier Transform (DFT) of the finite length sequence x[n] = 2δ[n] + δ[n-1] + δ[n-3]. The sequence y[n] is derived from the squared DFT Y[k] = X[k]^2, leading to a complex expression for y[n] that requires simplification. The participants emphasize the algebraic complexity involved in obtaining y[n] for n = 0, 1, 2, 3, 4, and discuss the necessity of choosing an appropriate N for the DFT to ensure y[n] equals the convolution of x[n] with itself.

PREREQUISITES
  • Understanding of Discrete Fourier Transform (DFT) and its properties
  • Familiarity with complex exponentials and their manipulation
  • Knowledge of convolution in the context of discrete signals
  • Experience with algebraic simplification techniques in signal processing
NEXT STEPS
  • Study the properties of DFT, particularly the convolution theorem
  • Learn about the Fast Fourier Transform (FFT) algorithm for efficient computation
  • Explore the implications of choosing different N values in DFT calculations
  • Practice simplifying complex expressions involving sums of exponentials
USEFUL FOR

Students and professionals in signal processing, electrical engineering, and applied mathematics who are working with Fourier analysis and discrete signals will benefit from this discussion.

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Homework Statement



Consider the finite length x[n]= 2δ[n]+δ[n-1]+δ[n-3]

We perform the following operation on this sequence:

(i) We compute the 5-point DFT X[k]
(ii) We compute a 5-point inverse DFT of Y[k]=X[k]2

a) Determine the sequence y[n] for n= 0, 1, 2, 3, 4
b) If N-point DFTs are used in the two step pocedure, how should we choose N so that y[n]=x[n]*x[n] for 0 ≤ n ≤ N-1?

Homework Equations



DFT transform pair:

X[k]=\sum_{n=0}^{N-1}x[n]e^{(-j\frac{2π}{N}kn)}

x[n]=\frac{1}{N}\sum_{k=0}^{N-1}X[k]e^{(j\frac{2π}{N}kn)}

The Attempt at a Solution



a)

X[k]=\sum_{n=0}^{4}x[n]e^{(-j\frac{2π}{5}kn)}=2 + e^{-j\frac{2π}{5}k} + e^{-j\frac{2π}{5}3k}

Then for calculation for Y[k] we substitute (2*pi/5)=a

Y[k]= X[k]^{2} = 4 + 4e^{-jak}+2e^{-j4ak}+4e^{-j3ak}+e^{-j2ak}+e^{-j6ak}

Now to get y[n] through:

y[n]=\frac{1}{N}\sum_{k=0}^{4}X[k]^{2}e^{(j\frac{2π}{5}kn)}

gives us a very complicated expression contained with sums of complex exponentials. It seems extremely difficult from here to simplify it so i can calculate y[n] for n=0,1,2,3,4
 
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gives us a very complicated expression contained with sums of complex exponentials. It seems extremely difficult from here to simplify it so i can calculate y[n] for n=0,1,2,3,4P

Please post the expression that you obtained but found difficult to simplify. From what I remember in early college, these problems are usually a ton of tedious algebra, so you may not be far off.
 

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