Compressed sensing (CS) is a technique in signal processing that enables the reconstruction of a signal from a small number of samples. It leverages the idea that many signals are sparse or can be sparsely represented in some basis, meaning that they contain significant information in far fewer dimensions than they are originally represented in. ### Key Concepts of Compressed Sensing: 1. **Sparsity**: A signal is considered sparse if it has a representation in a transformed domain (e.g.
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