Answer
Compressed sensing, the answer to Terence Tao's significant contributions, is a groundbreaking field that revolutionizes signal processing. It challenges the traditional notion that accurate signal reconstruction requires sampling at a rate equal to or higher than the highest frequency component. Instead, compressed sensing leverages sophisticated algorithms to reconstruct signals from significantly fewer measurements, opening up new possibilities in areas such as medical imaging, sparse signal recovery, and efficient data acquisition.