🎧 Noise Cancellation

Noise reduction—
Convergence step—
w̄ (mean weight)—
Error power—
Noise d(n)
Anti-noise y(n)
Residual e(n)
LMS Algorithm
y(n) = wᵀ(n)·x(n)
e(n) = d(n) + y(n)
w(n+1) = w(n) − μ·e(n)·x(n)
Converges when μ < 1/λ_max

Related simulations

📈Fourier Transform 📻AM/FM Modulation 🔢Convolution 🎛️DSP Filters