Abstract

The signals that arise in Air Force applications typically have noise that can be modeled as a non-stationary stochastic process. However, there may be intervals of time where the noise behaves more like a stationary process. This motivates the study of locally stationary stochastic processes. We rigorously define locally stationary stochastic processes and present their properties and relationships to stationary processes.

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