1Guguloth Ramesh, 2Dr M. Srikanth, 3Dr. Ashok Pagolu, 4Akula Rajasekhar 02 12 MATLAB has become one of the most widely used computational platforms for signal processing and realtime data analysis due to its powerful mathematical capabilities extensive toolbox support and userfriendly programming environment The growing demand for efficient processing of large volumes of data generated from sensors communication systems biomedical devices and industrial applications has necessitated the development of robust frameworks capable of performing accurate and realtime analysis This study presents a MATLABbased framework for signal processing and realtime data analysis designed to acquire process visualize and interpret dynamic data streams effectively The proposed framework integrates signal acquisition modules preprocessing techniques filtering algorithms feature extraction methods and realtime visualization tools within a unified environment Advanced digital signal processing techniques including Fast Fourier Transform FFT wavelet analysis adaptive filtering and statistical analysis are employed to enhance signal quality and extract meaningful information from noisy datasets The framework supports realtime monitoring and decisionmaking through automated analysis and graphical user interfaces Experimental evaluation demonstrates improved processing accuracy reduced computational latency and enhanced analytical performance across various signal types The results indicate that the proposed MATLAB framework provides a flexible scalable and efficient solution for signal processing and realtime data analytics in engineering scientific and industrial applications Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026