How do you detect impulse noise?

Impulse noise can be detected using specialized signal processing techniques that analyze sudden spikes or bursts in a signal. Common methods include using thresholding algorithms that identify values exceeding a certain level, as well as statistical methods that evaluate the variance or energy of the signal over time. Additionally, tools like wavelet transforms can effectively capture transient disturbances characteristic of impulse noise. Monitoring the frequency domain can also help, as impulse noise often manifests as sharp peaks in the spectrum.