The discrete Fourier transform (DFT) of a periodic array f₁, for j = 0, 1,..., N - 1 (corresponding to data at equally spaced points, starting at the left end point of the interval of periodicity) is evaluated via the fast Fourier transform (FFT) algorithm. Use an FFT package, i.e. an already coded FFT (e.g. scipy.fftpack or numpy.fft) for the problems below that require the DFT. 1. Let SN/2(x) be the trigonometric polynomial of lowest order that interpolates the periodic array fj, j = 0, 1, ..., N – 1 at the equidistributed nodes x; = j(2π/N), j= 0, 1, ..., N - 1, i.e SN/2(x) = for x = [0, 2π], where N/2-1 ao + Σ (ak cos kx + b₁ sin kæ) + 2 k=1 aN/2 2 COS N (+/+) 2 (1)
The discrete Fourier transform (DFT) of a periodic array f₁, for j = 0, 1,..., N - 1 (corresponding to data at equally spaced points, starting at the left end point of the interval of periodicity) is evaluated via the fast Fourier transform (FFT) algorithm. Use an FFT package, i.e. an already coded FFT (e.g. scipy.fftpack or numpy.fft) for the problems below that require the DFT. 1. Let SN/2(x) be the trigonometric polynomial of lowest order that interpolates the periodic array fj, j = 0, 1, ..., N – 1 at the equidistributed nodes x; = j(2π/N), j= 0, 1, ..., N - 1, i.e SN/2(x) = for x = [0, 2π], where N/2-1 ao + Σ (ak cos kx + b₁ sin kæ) + 2 k=1 aN/2 2 COS N (+/+) 2 (1)
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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