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By Andrew J. Barbour and Robert L. Parker


A vast and deep pool of literature exists on the subject of spectral analysis; wading through it can obscure even the most fundamental concepts from the inexperienced practitioner. Appropriate interpretation of spectral analyses depends crucially on the normalization used, which is often the greatest source of confusion. Here we outline the normalization used by psd, namely the single-sided power spectral density (PSD). We briefly outline the background mathematics, present an example from scratch, and compare the results with the normalization used by the spectrum estimator included in the base distribution of R: stats::spectrum

Year: 2013
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
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