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.
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 ...
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 ...
Rohde & Schwarz will demonstrate FSWX3044, a twin-input 44GHz spectrum analyser with cross-correlation measurement at IMS2025 in San Francisco. The company emphasises a novel multi-path architecture ...
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, ...