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GPU-accelerated time-frequency domain analysis with interactive visualizations
Configure and generate time-domain signals
Higher values = better frequency resolution
Max frequency = 22,050 Hz (Nyquist)
FFT: O(n log n) — DFT: O(n²) — switching re-runs analysis
0 samples @ 44100 Hz • Duration: 0.00 ms
The FFT is an efficient O(n log n) algorithm for computing the Discrete Fourier Transform. It's essential for real-time signal processing, audio analysis, and scientific computing.
Used in MP3 compression, image processing (JPEG), telecommunications, radar systems, earthquake analysis, and quantum computing algorithms.
The frequency resolution is determined by the sample rate divided by the number of samples. More samples provide better resolution but require more computation time.
To accurately reconstruct a signal, the sampling rate must be at least twice the highest frequency present in the signal (Nyquist frequency).