Do I need to install anything?

No. It runs in any modern browser, free, with no account required.

For Students · FIR Filter Designer

FIR Filter Designer for a signal filter

Built for students learning it for a class or exam. See the concept move instead of memorizing formulas — and check your homework intuition. Simulate a signal filter live below — adjust the inputs and watch it respond, right in your browser.

FIR Filter DesignerLive

windowed-sinc low-pass

Controls

Presets

Number of taps

Cutoff (× Nyquist)

An FIR filter convolves the signal with a set of tap coefficients. A windowed sinc gives a low-pass response whose transition band sharpens as you add taps — more taps mean a crisper cutoff but more computation and delay. Educational tool.

▶ Run in Python

Data Inspector

Taps21

Cutoff0.40 × Nyquist

Group delay10 samples

Governing equation

y [n] = k = 0 \sum 20 b_{k} x [n - k], f_{c} = 0.40 f_{Nyq}

Reading this result: 21 taps balance sharpness against cost — transition band ~0.31 × Nyquist, group delay 10 samples.

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Frequently asked questions

Is this good for students?: Yes — this version of "FIR Filter Designer for a signal filter" is framed for students learning it for a class or exam. See the concept move instead of memorizing formulas — and check your homework intuition.
Do I need to install anything?: No. It runs in any modern browser, free, with no account required.