Math Problem Statement

Compute the 8-point DFT of the sequence x[n] = 1 2 3 4 0 0 0 0 ↑

Using the radix-2 DIT algorithm. Follow exactly the corresponding signal flow graphs and keep track of all the intermediate quantities by putting them on the diagram.

Solution

To compute the 8-point Discrete Fourier Transform (DFT) of the sequence x[n]={1,2,3,4,0,0,0,0}x[n] = \{1, 2, 3, 4, 0, 0, 0, 0\} using the radix-2 Decimation-In-Time (DIT) algorithm, we need to follow the steps of the Fast Fourier Transform (FFT) algorithm carefully, which breaks the problem into smaller parts through butterfly computations.

Step-by-Step Procedure for Radix-2 DIT FFT

  1. Input sequence: x[n]={1,2,3,4,0,0,0,0}x[n] = \{1, 2, 3, 4, 0, 0, 0, 0\}

  2. Rearrange input sequence in bit-reversed order: For an 8-point sequence, the bit-reversed indices for the original indices are:

    Original indices: {0,1,2,3,4,5,6,7}\text{Original indices: } \{0, 1, 2, 3, 4, 5, 6, 7\} Bit-reversed indices: {0,4,2,6,1,5,3,7}\text{Bit-reversed indices: } \{0, 4, 2, 6, 1, 5, 3, 7\}

    Rearranging the input sequence according to these bit-reversed indices:

    xbit-reversed={1,0,3,0,2,0,4,0}x_{\text{bit-reversed}} = \{1, 0, 3, 0, 2, 0, 4, 0\}

  3. First stage of the butterfly computations: This stage involves 4 butterfly computations, where we combine pairs of values.

    [ \text{Butterfly computation: } X[k] = x[n] + W_N^k \cdot x[n+N/2] ]

    For this stage, N=8N = 8 and W8k=ej2πk/8W_8^k = e^{-j 2\pi k/8} are the twiddle factors. However, for the first stage, we only need to add/subtract the values as the twiddle factors for the first stage are all 1.

    \text{Butterfly 1: } & (1, 0) \Rightarrow 1+0 = 1 \text{ and } 1-0 = 1 \\ \text{Butterfly 2: } & (3, 0) \Rightarrow 3+0 = 3 \text{ and } 3-0 = 3 \\ \text{Butterfly 3: } & (2, 0) \Rightarrow 2+0 = 2 \text{ and } 2-0 = 2 \\ \text{Butterfly 4: } & (4, 0) \Rightarrow 4+0 = 4 \text{ and } 4-0 = 4 \\ \end{aligned}$$ After this stage, the intermediate output is: $$\{1, 1, 3, 3, 2, 2, 4, 4\}$$
  4. Second stage of the butterfly computations: Now, in this stage, we use the twiddle factors for the 8-point FFT. The twiddle factors for N=8N = 8 are:

    W80=1,W81=ejπ/4=12j12,W82=ejπ/2=j,W83=e3jπ/4W_8^0 = 1, \quad W_8^1 = e^{-j\pi/4} = \frac{1}{\sqrt{2}} - j\frac{1}{\sqrt{2}}, \quad W_8^2 = e^{-j\pi/2} = -j, \quad W_8^3 = e^{-3j\pi/4}

    Perform the butterfly computations using these twiddle factors:

    [ \begin{aligned} \text{Butterfly 1: } & (1, 3) \Rightarrow 1 + 3 = 4 \text{ and } 1 - 3 = -2 \ \text{Butterfly 2: } & (2, 4) \Rightarrow 2 + 4 = 6 \text{ and } 2 - 4 = -2 \ \text{Butterfly 3: } & \text{Apply } W_8^1 \text{ to the second half of each pair} \ & (1 + j3) \text{ and } (2 + j4) \end{aligned} }

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Math Problem Analysis

Mathematical Concepts

Discrete Fourier Transform
Radix-2 Decimation-In-Time Algorithm
Fast Fourier Transform
Complex Numbers

Formulas

X[k] = x[n] + W_N^k * x[n + N/2]
W_N^k = e^(-j 2πk/N)

Theorems

Discrete Fourier Transform
Radix-2 FFT Algorithm

Suitable Grade Level

University Level (Undergraduate)