We study the wavelet transform of deterministic self-similar signals and derive their properties, as well as a new algorithm for identification of the self-similarity parameter. We also include such applications as characterization and analysis of real chaotic signals in the presence of additive noise
Published in:
Signal Processing, IEEE Transactions on
(Volume:44
,
Issue:
6
)
Date of Publication: Jun 1996