What is compressive sensing?
💡 Model Answer
Compressive sensing is a signal processing technique that reconstructs a signal from far fewer samples than traditional Nyquist sampling would require, provided the signal is sparse or compressible in some basis. Instead of measuring every data point, it captures a small number of linear projections (measurements) and uses optimization algorithms, such as L1‑minimization, to recover the original signal. This approach is useful in applications like medical imaging (MRI), where it reduces scan time, and in sensor networks, where it saves bandwidth and power.
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