What is the DSP Pipeline multi-solver?

DSP Pipeline is a guided workflow that chains 3 individual PolySim solvers into one end-to-end analysis, piping each result into the next step.

Yes. Every step runs entirely in your browser using real numerics — no install, no account, no cloud cost. Custom or private solver packs are available as a paid service.

Controls & Robotics Pack · Multi-Solver

DSP Pipeline

Sample, FFT, filter. This multi-solver chains 3 solvers into a single guided workflow — run each step in order and carry the result forward.

Workflow steps

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Aliasing

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Sampling & AliasingLive

the Nyquist theorem

Controls

Presets

Signal frequency (Hz)

Sample rate (Hz)

To capture a signal faithfully you must sample above twice its highest frequency — the Nyquist rate. Sample too slowly and a high frequency masquerades as a lower one: aliasing. Push the signal frequency above half the sample rate and watch the reconstructed wave collapse to a false, slower tone.

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Data Inspector

Nyquist frequency10.0 Hz

Statusproperly sampled

Apparent frequency3.0 Hz

Governing equation

f_{app} = f - f_{s} round (\frac{f}{f _{s}}) = 3.0 Hz, f_{N} = \frac{f _{s}}{2} = 10.0 Hz

Reading this result: Sampling at 20 Hz puts the Nyquist limit at 10.0 Hz. The 3 Hz signal sits below that, so it is captured faithfully and reconstructs at its true frequency.

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

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FFT

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Fourier Transform (FFT)Live

decompose a signal into frequencies

Controls

Build a signal from a few sine tones plus noise, and the discrete Fourier transform recovers exactly which frequencies are present — the foundation of all signal processing.

Presets

Tone 1 frequency

Tone 2 frequency

Tone 3 frequency

Noise

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Data Inspector

Samples256

Peaks at4, 9

TransformDFT

Governing equation

X_{k} = n = 0 \sum N - 1 x_{n} e^{- 2 π ik n / N} (N = 256, O (N lo g N))

Reading this result: The FFT splits this 2-tone signal into bins: each input sinusoid at 4, 9 appears as a distinct spike, and with noise at 0 the baseline between them stays clean.

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

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Filter Designer

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Analog Filter DesignerLive

RC & RLC frequency response

Controls

Presets

Resistance R (Ω)

Capacitance C (nF)

Passive filters shape a signal's frequency content with resistors, capacitors, and inductors. An RC low-pass or high-pass has a cutoff at 1/(2πRC) where the response drops 3 dB; an RLC bandpass resonates at 1/(2π√(LC)) with sharpness set by its quality factor Q.

▶ Run in Python

Data Inspector

Cutoff fc1.6 kHz

Resonance f₀5.0 kHz

Quality factor Q0.32

Governing equation

∣ H (f) ∣ = \frac{1}{1 + ( f /1592 ) ^{2}}

Reading this result: Low-pass: signals below the 1.6 kHz corner pass, above it they roll off at 20 dB/decade, and the response is exactly 3 dB down right at the corner.

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

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More in the Controls & Robotics pack

Robot Arm Controller Drone Autopilot Mobile Robot Navigation Cart-Pole Control Design Servo Tuning Kit State Estimator Motion Profile Generator Vibration Control

Frequently asked questions

What is the DSP Pipeline multi-solver?: DSP Pipeline is a guided workflow that chains 3 individual PolySim solvers into one end-to-end analysis, piping each result into the next step.
Is it free to use?: Yes. Every step runs entirely in your browser using real numerics — no install, no account, no cloud cost. Custom or private solver packs are available as a paid service.