
Many examples of signals and images cannot be modeled by locally bounded functions, so that the standard multifractal analysis, based on the H��lder exponent, is not feasible. We present a multifractal analysis based on another quantity, the p-exponent, which can take arbitrarily large negative values. We investigate some mathematical properties of this exponent, and show how it allows us to model the idea of "lacunarity" of a singularity at a point. We finally adapt the wavelet based multifractal analysis in this setting, and we give applications to a simple mathematical model of multifractal processes: Lacunary wavelet series.
p-exponent, Hölder regularity, [MATH.MATH-FA] Mathematics [math]/Functional Analysis [math.FA], Hausdorff dimension, scale invariance, [MATH.MATH-FA]Mathematics [math]/Functional Analysis [math.FA], 510, Functional Analysis (math.FA), lacunarity exponent, Mathematics - Functional Analysis, fractal, wavelet, FOS: Mathematics, multifractal
p-exponent, Hölder regularity, [MATH.MATH-FA] Mathematics [math]/Functional Analysis [math.FA], Hausdorff dimension, scale invariance, [MATH.MATH-FA]Mathematics [math]/Functional Analysis [math.FA], 510, Functional Analysis (math.FA), lacunarity exponent, Mathematics - Functional Analysis, fractal, wavelet, FOS: Mathematics, multifractal
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