PPolySim OS

Window Functions

Analyzing a finite slice of a signal smears its spectrum. See how tapering windows clean up the mess — and what they cost.

Window FunctionsLive

Controls

Chopping a signal into a finite chunk smears its spectrum — spectral leakage. Tapering the chunk with a window (Hann, Hamming, Blackman) trades a wider main lobe for much lower side lobes, cleaning up the spectrum. Educational tool.

▶ Run in Python

Data Inspector

WindowHann
Trade-offbalanced

Governing equation

Reading this result: The Hann window drops side lobes well below the rectangular case, trading a slightly wider main lobe for far cleaner spectral separation.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

or unlock everything with Pro →
★ Sign in to save this setup
Save your tuned setup, or drop this simulation into your own site, docs, or course page.

How it works

Because a real measurement is finite, its spectrum leaks energy into neighboring bins. Window functions taper the signal at the edges to suppress this leakage: Blackman crushes side lobes but widens the main lobe, while a rectangular window is sharp but leaky. Educational tool.

Ask the AI about this model

The math, the assumptions, real-world uses, or a code translation — explained for this exact simulation.

More Signals simulations

Frequently asked questions

Is this window functions dsp tool really free?
Yes. Window Functions runs entirely in your browser using your device's own compute, so local use is free forever. You only pay Compute Tokens if you scale a job to the cloud.
Do I need to install anything?
No. Everything runs client-side in a modern browser — no downloads, no license, no account required to start.
Can I save or share my simulation?
Create a free account to save projects, and use a shareable embed or minted DOI to publish a live, interactive version anywhere.
How accurate are the results?
The solver uses established numerical methods, but results are for research and educational purposes and should be validated against experiment or professional review before you rely on them.