Signal reconstruction is the process of recovering a signal from its sampled or distorted version. This is essential in various fields, such as telecommunications and audio processing, where the original signal needs to be accurately restored for proper interpretation or playback. Techniques like interpolation and filtering are commonly used to achieve this. In digital signal processing, Nyquist-Shannon sampling theorem plays a crucial role in signal reconstruction. It states that a signal can be perfectly reconstructed if it is sampled at a rate greater than twice its highest frequency. This principle ensures that important information is preserved during the sampling process.