An Implementation of Digital Signal Processing

Digital signal processing (DSP) is the study of signals in a digital representation and the processing methods of these signals, which are sub-fields of signal processing. DSP includes sub-fields like audio and speech signal processing, sonar and radar signal processing, sensor array processing, spectral estimation, statistical signal processing, image processing, signal processing for communications. In order for a sampled analog signal to be exactly reconstructed, the Nyquist-Shannon sampling theorem must be satisfied. This paper introduces an implementation of DSP given the time and space as well as the frequency domains, aiming to give an example to using the technology in some practical fields.