Statistical signal analysis

Statistical signal analysis involves studying signals—like sound, radio waves, or data streams—by examining their patterns and randomness using statistical methods. It helps identify underlying structures, detect abnormalities, or extract meaningful information from noisy data. Techniques include measuring averages, variations, correlations, and other statistical properties to understand how signals behave over time or across different conditions. This approach is essential in fields like communications, engineering, and data science, enabling researchers to interpret complex signals reliably and make informed decisions based on their statistical characteristics.