Compressed Sensing is a signal processing technique that allows for the efficient compression and reconstruction of signals. It takes advantage of the fact that many real-world signals are sparse or can be represented with only a few significant coefficients. By capturing a small number of measurements, compressed sensing techniques can accurately reconstruct the original signal. This has applications in various fields such as image and video compression, medical imaging, and wireless communications, enabling more efficient data acquisition and transmission.