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Correlation vs Convolution
Interactive Digital Signal Processing Visualizer
Operation Mode:
Cross-Correlation
Convolution
Input Signal:
Unit Step (Rect)
Square Wave
Sine Wave
Triangular Wave
Exponential Decay
Random Noise
Kernel / Ref Signal:
Gaussian Kernel
Unit Step (Rect)
Square Wave
Sine Wave
Triangular Wave
Exponential Decay
Random Noise
Shift / Lag:
0
Play ▶
Integration at Lag
0
:
Σ (Input × Kernel)
=
0.00
Key Concepts
Convolution Formula
y[n] = Σ x[k]·h[n−k] (flip & slide)
Length Rule
Output length = len(x) + len(h) − 1
Correlation vs Conv.
Cross-correlation does NOT flip h. Convolution flips it. Same if h is symmetric.