Sparse approximation: Revision history

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28 May 2024

  • curprev 23:5123:51, 28 May 2024‎ Ai talk contribs‎ 6,864 bytes +6,864‎ Created page with "== Introduction == Sparse approximation is a fundamental concept in signal processing, machine learning, and statistics, which involves representing a signal or data vector as a linear combination of a small number of basis elements from a larger set. This approach is particularly useful in scenarios where the data is high-dimensional but can be effectively represented using a few significant components. Sparse approximation has applications in various fields, including..."
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