Time-Domain Signal Processing for Vibration Signals Using ARMA Method

In the domain of vibration signal processing for time-domain signals, the ARMA method stands as a highly effective technique. ARMA represents the Autoregressive Moving Average model, which enables accurate analysis and processing of time-domain signals through its sophisticated mathematical framework. A significant advantage of this approach lies in its MATLAB-implemented source code, designed for exceptional usability. The implementation typically involves key functions like arma() for model estimation and signal processing routines for filtering operations. Both beginners and professionals can effortlessly utilize this program for signal processing tasks. Whether performing spectral analysis of vibration signals or applying time-domain filtering, the ARMA method delivers precise and reliable results through its optimized algorithm structure. The MATLAB code typically incorporates features like parameter estimation using the Yule-Walker equations and noise reduction through moving average components. Therefore, if you require processing of time-domain vibration signals, considering the ARMA method can yield superior analysis and processing outcomes through its well-structured computational approach.