Open AccessMathematicsComputer Science
DOI: 10.1109/34.192463

tlooto Summary

It is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2/Sup j/ can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.

Abstract

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Citation format

MALLAT, S. A theory for multiresolution signal decomposition: The wavelet representation. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1989, 11(7): 674–693.