The autocorrelation, partial and inverse autocorrelation functions described in the preceding sections help when you want to model a series as a function of its past values and past random errors.

The correlation function is a useful signal-analysis tool that engineers often overlook. Its formidable equation, which you have probably not thought about since your undergraduate signals and systems ...

Measuring phase noise with a spectrum analyzer. The primary advantage of dedicated phase-noise analyzers. The cross-correlation method. Using a spectrum analyzer is the oldest, most straightforward, ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

1. Recent theoretical studies on population synchrony have focused on the role of dispersal, environmental correlation and density dependence in single species. Trophic interactions have received less ...

How an input series enters the model is called its transfer function. Thus, ARIMA models with input series are sometimes referred to as transfer function models. In the preceding regression and ...

Researchers have developed a analogue photonic correlator that can be used to locate an object transmitting a radio signal. This new correlator is faster than other methods and works with a wide range ...