Transient detection and encoding using wavelet coefficient trees

Many signal processing problems call for accurate and efficient models for transient signals, and corresponding detection/estimation algorithms. This paper proposes a general setting for transient models, based upon dyadic trees of wavelet coefficients. A deterministic and a stochastic model are presented, and corresponding estimation algorithms are described. Numerical results are given in the framework of audio signal encoding.