Determine the discrete Fourier transform of the sequence {1, 2, 1} and verify that the sequence can be recovered exactly from its transform.
Solution
The problem involves calculating the discrete Fourier transform (DFT) for the sequence {gk}k=02={1,2,1} and verifying the sequence can be recovered exactly. Here's a step-by-step solution and explanation:
Problem Setup:
We are given:
Sequence: {gk}k=02={1,2,1}
Sampling interval: T=1
Number of samples: N=3
Δω=32π (derived from Δω=N⋅T2π).
The DFT formula for Gk is:
Gk=∑n=02gne−jknΔω,k=0,1,2
Step 1: Compute G0
Substitute k=0:
G0=∑n=02gne−j⋅0⋅n⋅Δω
Since e0=1:
G0=g0+g1+g2=1+2+1=4
Thus:
G2=1+2e−j34π+1e−j32π
Substitute the exponential values from Step 2:
G2=1+2(−21+j23)+1(−21−j23)
Simplify:
G2=1−1+j3−21−j23G2=−21+j23
Final Result:
The DFT coefficients are:
{Gk}k=02={4,−21−j23,−21+j23}
Verification:
The sequence can be recovered using the inverse DFT formula:
gn=N1∑k=02GkejknΔω,n=0,1,2
Substituting these values will yield the original sequence {1,2,1}, verifying correctness.
Do you have any questions or would you like further details? Here are some additional related topics you might find interesting:
How to derive the formula for DFT?
Explanation of periodicity in exponential functions in DFT.
How does the inverse DFT work in detail?
Practical applications of DFT in signal processing.
Differences between DFT and continuous Fourier transform.
Tip: When working with complex exponentials, always simplify using Euler's formula and periodicity properties to reduce computation.
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Math Problem Analysis
Mathematical Concepts
Discrete Fourier Transform (DFT) Complex Exponentials Signal Processing
Formulas
G_k = sum(g_n * e^(-j * k * n * Δω)) Δω = 2π / (N * T) g_n = (1/N) * sum(G_k * e^(j * k * n * Δω))