  In this article, we investigate the application of wavelet packet transform
as a novel spectrum sensing approach. The main attraction for wavelet packets
is the tradeoffs they offer in terms of satisfying various performance metrics
such as frequency resolution, variance of the estimated power spectral density
(PSD) and complexity. The results of the experiments show that the wavelet
based approach offers great flexibility, reconfigure ability and adaptability
apart from its performances which are comparable and at times even better than
Fourier based estimates.
