wave-blog/using-jupyter/long.signal.kt

wave-blog:using-jupyter:long.signal.kt

//Specify the parameters of future calculations:
val windowSize = 801
val stepSize = 256
val fftSize = 1024

// Define a signal, windowed sum of sinusoids:
val signal = (880.sine() + 440.sine() + 220.sine())
            .window(windowSize, stepSize)

// The first FFT applying the triangular window function:
val triangularFft = signal
      .triangular()
      .fft(fftSize)
      .toTable("fft-triangular", 2.m)

// And the seconds FFT applying the hamming window function:
val hammingFft = signal
      .hamming()
      .fft(fftSize)
      .toTable("fft-hamming", 2.m)