The bandwidth of a spectral estimator is a measure of the minimum sepa
ration in frequency between approximately uncorrelated spectral estima
tes. We determine an effective bandwidth measure for multitaper spectr
al estimators, a relatively new and very powerful class of spectral es
timators proving to be very valuable whenever the spectrum of interest
is detailed and/or varies rapidly with a large dynamic range. The mul
titaper spectral estimator is the average of several direct spectral e
stimators, each of which uses one of a set of orthogonal tapers. We sh
ow that the equivalent width of the autocorrelation of the overall spe
ctral window is a suitable measure of the effective bandwidth of a mul
titaper spectral estimator and illustrate its use in the case of both
Slepian and sinusoidal orthogonal tapers. This measure allows a unifie
d treatment of bandwidth for the class of quadratic spectral estimator
s. Hence, for example, it is now possible properly to compare multitap
er spectral estimators with traditional lag window spectral estimators
, by assigning a fixed and equal effective bandwidth to both methods.
An application is given to the spectral analysis of ocean wave data.