Set SNR ranges
Compare low and high SNR scenarios to identify breakpoints where signal quality degrades.
Model additive white Gaussian noise behavior and observe how SNR impacts practical signal quality.
Compare low and high SNR scenarios to identify breakpoints where signal quality degrades.
Track how noise variance and BER-related behavior shift as channel conditions become harsher.
Apply the simulator for communication labs, interview prep, and system intuition building.
Additive White Gaussian Noise modeled as:
y(n) = x(n) + w(n), where w(n) ~ 𝒩(0, σ²)
Signal summary
Samples: 0
Noise impact: low
Use case: model how small changes affect clarity in practice.