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What is Butterworth Filter in AR Process Analysis about?

This document outlines a final project for a postgraduate degree in Mathematics for Data Science, focusing on the analysis of Autoregressive (AR) processes through systems theory and digital signal processing. It aims to compare the Butterworth low pass filter as an alternative forecasting model, providing theoretical and applied insights into time series forecasting. The research utilizes various mathematical methodologies, including Laplace and Z-transforms, to derive and analyze AR models in the context

Author

soniarfcarvalho.sc

Language

EN