Wavelets and stochastic processes
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation
Multiresolution approximation scale and time-shift subspaces
Multidimensional Systems and Signal Processing
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We show that, with respect to an orthonormal wavelet ψ(ċ) ∈ L 2 (R) any f (ċ) ∈ L 2 (R) is, on the one hand, the sum of its "layers of details" over all time-shifts, and on the other hand, the sum of its layers of details over all scales. The latter is well known and is a consequence of a wandering subspace decomposition of L 2 (R) which, in turn, resulted from a wavelet multiresolution analysis (MRA). The former has not been discussed before. We show that it is a consequence of a decomposition of L 2 (R) in terms of reducing subspaces of the dilation-by-2 shift operator.