ICA

ICA, or Independent Component Analysis, is a statistical technique used to untangle mixed signals. Imagine you're in a room with several people talking simultaneously, and you want to listen to just one person's voice. ICA helps separate these overlapping signals into their original sources by identifying patterns that are statistically independent. It's commonly used in fields like neuroscience to analyze brain activity, in telecommunications to improve signal clarity, and in data analysis to reveal hidden factors influencing complex data sets—all by isolating independent underlying components from observed combined signals.