Wavelets are new tools for turbulence analysis that are yielding impor
tant insights into boundary-layer processes. Wavelet analysis, however
, has some as yet undiscussed limitations: failure to recognize these
can lead to misinterpretation of wavelet analysis results. Here we dis
cuss some limitations of wavelet analysis when applied to nonstationar
y turbulence. Our main point is that the analysis wavelet must be care
fully matched to the phenomenon of interest, because wavelet coefficie
nts obscure significant information in the signal being analyzed. For
example, a wavelet that is a second-difference operator can provide no
information on the linear trend in a turbulence signal. Wavelet analy
sis also yields no meaningful information about nonlinear behavior in
a signal - contrary to claims in the literature - because, at any inst
ant, a wavelet is a single-scale operator, while nonlinearity involves
instantaneous interactions among many scales.