Decorrelation theory is a concept often used in various fields such as signal processing, statistics, and information theory. At its core, the principle of decorrelation aims to reduce or eliminate correlations between variables, signals, or data points. Here are a few key aspects of decorrelation: 1. **Statistical Context**: In statistics, decorrelation refers to the transformation of random variables in such a way that their mutual correlations are minimized or eliminated.
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