Matching Pursuit (MP) is a greedy algorithm used for approximating functions or signals through a linear combination of a set of functions, typically called "atoms" or "dictionary elements." The method is particularly useful in signal processing, data compression, and machine learning, where it is employed to represent high-dimensional data in a lower-dimensional space while retaining essential features. ### Key Concepts: 1. **Dictionary**: A set of functions (atoms) that can be used to approximate a given signal.
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