Skip to main content
🌍 Public

Share visualization

Send this visualization to others.

fourierProducts

Public visualization

Viewing a saved revision (read-only)

8cd8d9baba9a48f692289a2affda6d37

fourierProducts

0 stars0🌍 Public
DDonald Bagwell
Last edited Jul 2, 2024
Created on Jun 10, 2024

This interactive WebGL visualization demonstrates the Fourier transform, converting time-domain signals into frequency spectra. It provides both a naive Discrete Fourier Transform (DFT) implementation and a faster Cooley-Tukey Fast Fourier Transform (FFT) via the jsfft library, with support for multiple window functions like Hamming and Hann. The code shows real-time computation of magnitude spectra from audio buffers using sine and cosine lookup tables, with frequency peaks highlighted.

AI-generated description

Location: Memphis,Tower - McKellar Park

Date (UTC): 2015-03-02 23:30:00.2 to 2015-03-03 00:00:00

Original Data Source: lgr1_csat_20_2015_03_03_0000.dat

Instrument or model designator: 3-D Sonic Anemometer (CSAT3)

Profile or Instrument Longitude: -89.980751783

Profile or Instrument Latitude: 35.011683521

Profile or Instrument Elevation (MSL,m): 110.305

wind velocities : m/sec

temperature : celsius

consult literature for Diag code

https://www.campbellsci.com/csat3b