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Multiscale autoregressive (MAR) framework was introduced to support the development of optimal multiscale statistical signal processing. This paper provides a unification of the MAR framework and all compactly supported wavelets. The second contribution of this paper is to develop wavelet-based approximate internal MAR models for stochastic processes.

Author

kr0465

Language

EN