ARMA Time Series Model for Signal Processing

This MATLAB-based ARMA time series model signal processing program is designed for vibration signals, audio signals, image signals, and various other signal processing and simulation applications. The program implements multiple algorithms and functions including ARMA model parameter estimation using methods like Yule-Walker equations or maximum likelihood estimation, digital filtering techniques, spectral analysis through periodogram and parametric approaches, and feature extraction methods for signal characterization. The codebase supports comprehensive data visualization through MATLAB's plotting functions and result analysis capabilities, enabling clear demonstration of signal processing outcomes and performance metrics. With well-structured MATLAB scripts and functions implementing core signal processing algorithms, this program serves as a valuable tool for both academic research and engineering applications, helping users effectively analyze and process diverse types of signal data through practical code implementations.