Digital Signal Processing (DSP) refers to the field of study and application that concerns the manipulation, analysis, and synthesis of digital signals. It involves the use of mathematical algorithms and computational techniques to process signals that have been digitized.
Signals in DSP are typically represented as sequences of numbers, where each number corresponds to a specific measurement or sample of the signal at a particular point in time. The digital nature of the signals allows for efficient storage, transmission, and manipulation using computers and other digital devices.
The main objectives of digital signal processing are to improve the quality, efficiency, and reliability of information captured and conveyed by signals. This could involve tasks such as noise reduction, filtering, compression, spectral analysis, and time-frequency analysis. DSP techniques are used in a wide range of applications, including telecommunications, audio and video processing, image processing, radar systems, biomedical engineering, and control systems.
One of the key advantages of digital signal processing is its ability to perform complex operations on signals in real-time or near-real-time. With the advancements in digital technology and the availability of powerful processors, DSP has become an integral part of many modern systems and devices, contributing to enhanced performance and functionality.
