  Broad band power density spectra offer a window to understanding turbulent
behavior in the emission mechanism and, at the highest frequencies, in the
putative inner engines powering long GRBs. We describe a chirp search method
which steps aside Fourier analysis for signal detection in the Poisson
noise-dominated 2 kHz sampled BeppoSAX light curves. An efficient numerical
implementation is described in $O(Nn\log n)$ operations, where $N$ is the
number of chirp templates and $n$ is the length of the light curve time series,
suited for embarrassingly parallel processing. For detection of individual
chirps of duration $\tau=1$ s, the method is one order of magnitude more
sensitive in SNR than Fourier analysis. The Fourier-chirp spectra of GRB 010408
and GRB 970816 show a continuation of the spectral slope up to 1 kHz of
turbulence identified in low frequency Fourier analysis. The same continuation
is observed in an ensemble averaged spectrum of 40 bright long GRBs. An outlook
on a similar analysis of upcoming gravitational wave data is included.
