Abstract: Digital signal processing (DSP), which deals with the digital representation, processing, and analysis of signals, is a crucial field in modern engineering. This paper's primary goal is to increase the precision and effectiveness of signal processing techniques in order to meet the growing demands of applications such as control systems, biomedical engineering, audio and image processing, and telecommunications. Investigating basic DSP concepts, including sampling, quantization, discrete-time signal encoding, and the use of Fourier and Z-transforms, is the main objective. Hardware and algorithm implementations of these concepts are also examined. The methodology includes theoretical study, simulation, and experimental validation to demonstrate the effectiveness of several DSP algorithms for noise reduction, signal filtering, and feature extraction.

Downloads: | DOI: 10.17148/IJIREEICE.2025.131010