{"version":"1.0","type":"rich","title":" Fast Fourier Transform Class","description":"This example visualizes the frequency spectrum of a time-series signal, showing the amplitude of frequency peaks after a Fast Fourier Transform (FFT) is applied to a dataset of 16,384 samples. A line chart displays the frequency peaks of sine waves, with the x-axis representing frequency and the y-axis representing signal amplitude. The implementation uses D3.js for rendering and employs a custom `FourierTransform` function to compute frequency, amplitude, and phase from the data, which is sourced from a pre-loaded dataset. The visualization also includes axes and labels rendered via the `@drbagwell/responsive-viz-axes` library.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/df9352eab9fc47139d9d586dec14c356?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}