What are the practical difficulties in signal reconstruction?

Signal reconstruction faces several practical difficulties, including noise interference, which can distort the original signal and complicate accurate recovery. Additionally, incomplete or insufficient sampling can lead to aliasing, where different signals become indistinguishable. Computational complexity and the need for robust algorithms also pose challenges, especially in real-time applications. Lastly, limitations in hardware and bandwidth can restrict the quality and speed of the reconstruction process.