Advanced Signal Processing
A stationary process is a stochastic process whose statistical properties, such as mean and variance, remain constant over time. This consistency makes it easier to analyze and predict behaviors since the process does not exhibit trends or seasonal variations that might skew the results. In practical applications, identifying a stationary process allows for simpler modeling techniques and effective use of tools like Fourier analysis and spectral density estimation.
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