FFT Spectrum Analyzer

The tool solves the time-domain to frequency-domain analysis problem by computing the discrete Fourier transform of a user-provided time-domain signal. It accepts real-valued samples from sensors, audio, or simulation and returns a spectrum that reveals how energy distributes across frequencies. This is essential for diagnostics, filtering design, and spectral analysis in engineering, physics, and signal processing contexts.
Core capabilities include configurable FFT length, windowing, and scaling. Users provide a sample rate (Hz) and either a samples array or a data file. The tool applies a chosen window (Rectangular, Hann, Hamming, Blackman) to mitigate leakage, optionally zero-pads to a user-specified N_fft, and computes magnitude, phase, and optional power spectrum. Outputs include frequency_bins (Hz), magnitude_spectrum, phase_spectrum, and dominant_frequencies.
Value proposition: it is designed for automation and integration into analysis pipelines, with robust error handling for missing inputs or non-numeric data, support for large N, and precise frequency resolution computed as Fs/N. It supports both real and complex inputs conceptually by ignoring imaginary parts if absent. Use cases span vibration analysis, acoustics, EEG/biomedical signals, and communications.