Hz Analyzer

Web tool that analyzes time-domain signals to reveal dominant frequencies, spectrum, and timing insights for engineers and researchers.

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Om dette verktøyet

The Hz Analyzer Online tool provides a precise frequency analysis of time-domain signals. It applies FFT-based spectral estimation to convert a sequence of samples into a frequency-domain representation. The core result is the dominant frequency and a full spectrum profile.
Conceptually, the tool computes the discrete Fourier transform, optionally applying a window (e.g., Hann or Hamming) and zero-padding to improve frequency resolution. It then identifies the peak magnitude and reports bandwidth as the width around the peak where the magnitude falls by 3 dB.
Who benefits: electronics engineers, acoustics researchers, educators, and students analyze signals from sensors, audio, or lab experiments. Unique value: immediate spectral view without hardware, supports CSV/WAV inputs, and exports data for offline analysis.
Use cases include single-tone analysis, harmonic content assessment, noise characterization, and quality control in test environments.

Hvordan bruke

  1. Provide inputs: supply signal samples and sample rate.
  2. (Optional) choose FFT window and zero-padding.
  3. Run analysis to compute spectrum and dominant frequencies.
  4. Review outputs: dominant frequency, spectrum, bandwidth, and timing.
  5. Export data as CSV for offline analysis.
How to use hz analyzer online

Frequently Asked Questions

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What inputs are required?
The tool requires a numeric signal sample array and a positive sample rate (Hz). Optional inputs include window type, zero-padding, and sampling settings.
What outputs are produced?
Outputs include dominant frequency, full spectrum data, peak frequencies, bandwidth, and timing metrics. Data can be exported as CSV for further analysis.
What data formats are accepted?
Accepts raw numeric samples in JSON-like arrays or standard waveform files (CSV, WAV) for import. If a file fails to ingest, results are not produced.

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