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pages = Any[ | ||
"Home" => "index.md", | ||
"API" => "fft.md", | ||
"Examples" => "examples.md", | ||
], | ||
) | ||
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# Examples | ||
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Here you can find some basic examples of how to use this package. | ||
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## Spectrum of a 1D Signal | ||
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This example shows how to obtain and plot the spectrum of a simple, real-valued signal with a second-order harmonic using FFTW and [Plots](https://github.com/JuliaPlots/Plots.jl). | ||
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```julia | ||
using Plots | ||
using FFTW | ||
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# Number of points | ||
N = 2^12 - 1 | ||
# Sample spacing | ||
Ts = 1 / (1.1 * N) | ||
# Sample rate | ||
fs = 1 / Ts | ||
# Start time | ||
t0 = 0 | ||
tmax = t0 + N * Ts | ||
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# time coordinate | ||
t = t0:Ts:tmax | ||
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# The underlying signal here is the sum of a sine wave at 60 cycles per second | ||
# and its second harmonic (120 cycles per second) at half amplitude. We have | ||
# discrete observations (samples) of this signal at each time `t`, with `fs` | ||
# samples per second. | ||
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signal = sin.(2π * 60 * t) + .5 * sin.(2π * 120 * t) | ||
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# The `fft` function calculates the (discrete) Fourier transform of its input. | ||
# The first half of the returned array contains the positive frequencies, while | ||
# the second half contains the negative ones. For visualization purposes, we | ||
# rearrange the array to have the zero-frequency at the center. | ||
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F = fftshift(fft(signal)) | ||
freqs = fftshift(fftfreq(length(t), fs)) | ||
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# Plot | ||
time_domain = plot(t, signal, title="Signal", xlims=(0, 4 / 60), xlabel="time (s)", label="") | ||
freq_domain = plot(freqs, abs.(F), title="Spectrum", xlims=(0, 200), xlabel="frequency (Hz)", label="") | ||
plot(time_domain, freq_domain, layout = 2) | ||
savefig("Wave.pdf") | ||
``` | ||
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![](img/1D60Hz.png) |
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