Compressed Sensing

Compressed Sensing is a revolutionary signal processing technique that allows for the capture of high-quality information using fewer samples than traditional methods. Instead of needing to fully measure an entire signal, it leverages the idea that many signals have inherent simplicity or structure. By intelligently sampling and using advanced mathematical algorithms, compressed sensing can reconstruct the original signal from sparse data. This approach is valuable in fields like medical imaging, audio processing, and telecommunications, enabling faster data acquisition and reduced storage requirements while maintaining accuracy and quality.