Digital Signal Processing: Principles and Applications

Digital Signal Processing (DSP) focuses on the analysis and manipulation of signals in digital form using mathematical algorithms. It involves sampling, filtering, compression, and transformation of signals to improve quality and extract useful information. DSP is widely applied in communications, audio and image processing, biomedical systems, radar, and control systems, enabling efficient, accurate, and reliable processing of real-world signals in modern technology.