ARMA Time Series Model Signal Processing Program
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Resource Overview
A MATLAB-implemented ARMA time series model signal processing program designed for vibration signal processing and simulation applications. The implementation features ARMA model parameter estimation using methods like the Yule-Walker equations or maximum likelihood estimation, with capabilities for signal analysis, simulation, and statistical characterization.
Detailed Documentation
This program is designed for signal processing and simulation applications, particularly for vibration signals and similar time series data. Implemented in MATLAB, this ARMA time series model signal processing program provides robust handling of various signals including vibration data, along with comprehensive simulation capabilities. The program offers users a convenient and efficient method for signal processing and analysis, featuring key functions for ARMA model fitting, residual analysis, and spectral estimation. Through this program, users can obtain various statistical information and characteristics about signals, enabling better understanding of signal properties and behaviors. The implementation includes algorithms for model order selection (such as AIC or BIC criteria) and parameter optimization techniques. Additionally, the program demonstrates flexibility and extensibility, allowing customization and modification according to user requirements through modular function design and parameter configuration options. Therefore, this program serves as an essential tool in the signal processing domain, assisting users in completing various signal processing tasks with professional-grade computational methods.
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