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LTI System Models for Random Signals

August 10, 2019 by

System models provide a concise description for random signals. In this lesson you will learn how to model a time series as the output of a linear time-invariant system with a random input signal. You will learn about the three commonly used models: autoregressive, moving average, and autoregressive moving average, and the types of random signals they best characterize. This knowledge will prepare you for signal-processing applications to speech coding, spectrum estimation, and system identification.

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