  We present two search algorithms that implement logarithmic tiling of the
time-frequency plane in order to efficiently detect astrophysically unmodeled
bursts of gravitational radiation. The first is a straightforward application
of the dyadic wavelet transform. The second is a modification of the windowed
Fourier transform which tiles the time-frequency plane for a specific Q. In
addition, we also demonstrate adaptive whitening by linear prediction, which
greatly simplifies our statistical analysis. This is a methodology paper that
aims to describe the techniques for identifying significant events as well as
the necessary pre-processing that is required in order to improve their
performance. For this reason we use simulated LIGO noise in order to illustrate
the methods and to present their preliminary performance.
