This code performs a *forward Fourier transform* on a real-valued...

August 26, 2025 at 08:40 AM

static void forward_transform(kiss_fft_cpx *out, const float *in) { int i; kiss_fft_cpx x[WINDOW_SIZE]; kiss_fft_cpx y[WINDOW_SIZE]; for (i=0;i<WINDOW_SIZE;i++) { x[i].r = in[i]; x[i].i = 0; } rnn_fft(&rnn_kfft, x, y, 0); for (i=0;i<FREQ_SIZE;i++) { out[i] = y[i]; } }

This code performs a forward Fourier transform on a real-valued input array and outputs the resulting complex frequency-domain values. Here's an explanation of what it does step by step:

1. Function Purpose

The function forward_transform takes input data:

  • in (a pointer to a float array) representing real-valued time-domain samples.
  • out (a pointer to an array of kiss_fft_cpx structures) to store the transformed frequency-domain complex values.

2. Data Structures

  • kiss_fft_cpx is a structure with r (real part) and i (imaginary part). It represents complex numbers.
  • WINDOW_SIZE defines the number of time-domain samples to process.
  • FREQ_SIZE defines the size of the frequency-domain output (often half of WINDOW_SIZE because the input is real).

3. Workflow

  • Initialization: Two arrays x and y of type kiss_fft_cpx are created, both sized to WINDOW_SIZE (for the transform process).
  • Real to Complex Conversion: A loop iterates over the real-valued input in, storing each value in the r (real) field of the x array, while initializing the i (imaginary) part to 0. This converts real input to complex form, as needed by the FFT.
  • FFT Computation: A function rnn_fft is called, which performs the actual FFT. It uses the x array (time-domain input) and calculates the FFT result into the y array (frequency-domain output).
    • rnn_kfft is likely an object or configuration needed by the rnn_fft function.
    • The 0 parameter passed to rnn_fft might specify that this is a forward FFT (the inverse transform may use 1).
  • Output Truncation: Only the first FREQ_SIZE results from y are copied to the out array. This makes sense because for real-valued inputs, the FFT output is symmetric, so only the first half of the results are needed to fully describe the frequency-domain representation.

4. Summary

This function takes WINDOW_SIZE real-valued input samples, performs a forward FFT, and stores the first FREQ_SIZE complex frequency-domain results in the out array. It uses the KISS FFT library (from the naming conventions), which is a lightweight implementation for Fast Fourier Transform.

Generate your own explanations
Download our vscode extension
Read other generated explanations

Built by @thebuilderjr
Sponsored by beam analytics
Read our terms and privacy policy
Forked from openai-quickstart-node