DTMF 的实现¶
连接库。
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Pkg.add(["WAV", "DSP"])
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using Plots
using FFTW
using DSP
using WAV
声明系统参数¶
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# symbols = ["1", "5", "0", "8", "6", "4", "7", "7", "0", "0", "0"]; # Набор символов
symbols = ["5", "0", "8"]; # Набор символов
lfg = [697 770 852 941]; # Группа нижних частот
hfg = [1209 1336 1477]; # Группа верхних частот
f = [reshape(ones(3, 1) * lfg, 1, 12); repeat(hfg, 1, 4)];
Fs = 8000; # Частота дискретизации 8 кГц
N = 800; # Длительность тональности 100 мс
t = [0:N-1;] ./ Fs; # 800 дискретов на Fs
pit = t * 2 * pi;
tones = zeros(N, length(symbols));
填写音调¶
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for i = 1:length(symbols)
if symbols[i] == "1"
tones[:, i] = sum(sin.(f[:, 1] * pit'), dims=1)'
elseif symbols[i] == "2"
tones[:, i] = sum(sin.(f[:, 2] * pit'), dims=1)'
elseif symbols[i] == "3"
tones[:, i] = sum(sin.(f[:, 3] * pit'), dims=1)'
elseif symbols[i] == "4"
tones[:, i] = sum(sin.(f[:, 4] * pit'), dims=1)'
elseif symbols[i] == "5"
tones[:, i] = sum(sin.(f[:, 5] * pit'), dims=1)'
elseif symbols[i] == "6"
tones[:, i] = sum(sin.(f[:, 6] * pit'), dims=1)'
elseif symbols[i] == "7"
tones[:, i] = sum(sin.(f[:, 7] * pit'), dims=1)'
elseif symbols[i] == "8"
tones[:, i] = sum(sin.(f[:, 8] * pit'), dims=1)'
elseif symbols[i] == "9"
tones[:, i] = sum(sin.(f[:, 9] * pit'), dims=1)'
elseif symbols[i] == "*"
tones[:, i] = sum(sin.(f[:, 10] * pit'), dims=1)'
elseif symbols[i] == "0"
tones[:, i] = sum(sin.(f[:, 11] * pit'), dims=1)'
elseif symbols[i] == "#"
tones[:, i] = sum(sin.(f[:, 12] * pit'), dims=1)'
end
end
指定音调之间的停顿。
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N8::Int64 = N / 8
tones = [tones; 0.05 * randn(N8, length(symbols))];
tones = [0.05 * randn(N8, 1); tones[:]];
分析结果¶
让我们绘制信号图。
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N = length(tones);
t = [0:N-1;] / Fs;
plot(1e3 * t, tones, xlabel="Время, мс", ylabel="Амплитуда", title="DTMF сигнал")
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绘制光谱图。
使用快速傅立叶变换绘制频谱图。
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Spec = 10 * log10.(abs.(fftshift(fft(tones)) ./ 1000) .^ 2);
freqs = fftshift(fftfreq(length(t), Fs))
plot(freqs, Spec, xlim=(650, 1500), xticks=650:100:1500, xlabel="Частота, Гц", ylabel="Мощьность, дБ", title="Спектр DTMF сигнала")
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从呈现的图形中,我们很难清楚地了解原始符号集是什么。为了更方便地表示,我们来绘制原始信号的频谱图。
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spgr = DSP.spectrogram(tones[:,1], 255, 128; fs = Fs); # Создание спектрограммы исходного DTMF сигнала
Plots.heatmap(spgr.time.*1000, spgr.freq, pow2db.(spgr.power), xguide = "Время, мс", yguide = "Частота, Гц",ylim =(500, 1500), yticks=650:100:1500)
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从频谱图可以看出,符号集为:5,0,8。
结论¶
通过本示例的开发,我们向您展示了在Engee中实现音调发生器的可能性,以及将调制信号可视化以方便分析这些信号的可能性。