Signal recovery

Signal recovery is the process of reconstructing a complete, original signal from incomplete or noisy data. When signals, like audio or images, are captured or transmitted, they can become distorted or partially lost. Using mathematical techniques, such as filtering or algorithms that identify patterns, we can fill in missing information and remove noise. This ensures the restored signal closely resembles the original. Signal recovery is fundamental in many fields, including communications, medical imaging, and data processing, enabling us to retrieve clear, accurate information from imperfect data.