Related simulators
Similar topics nearby (including related fields) — or browse all 85 in Math Visualization.
Kalman Filter 2D Tracking
4-state constant-velocity tracker: noisy (x,y) measurements, process acceleration noise Q, measurement variance R, and a live ≈2σ covariance ellipse.
Gaussian Process Regression
Interactive GP regression with RBF and Matérn kernels: tune length scale/noise, add observations by clicking, view posterior mean with uncertainty bands, and sample at max posterior variance.
Random Walk
1D or 2D steps; trail and running mean ⟨r²⟩ vs diffusion intuition.
EKF SLAM (toy)
Augmented state [x,y,θ, landmarks…]: noisy planar odometry predict, range & bearing updates with known IDs, map–robot covariance coupling; wrong map prior vs ground-truth Lissajous path.
LMS / NLMS Adaptive Noise Cancellation
Primary p = s + v with v a fixed unknown FIR of Gaussian reference x[n]. Watch an L-tap FIR adapt by LMS or NLMS so error e = p − wᵀx → s; running MSE and ‖w − h‖.
Savitzky–Golay Smoothing
Noisy cosine vs SG(7,2) convolution — preserves peaks better than a wide boxcar.