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   <subfield code="a">An Adaptive Compression Algorithm in Besov Spaces</subfield>
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   <subfield code="c">[L. Birgé, P. Massart]</subfield>
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   <subfield code="a">Abstract. : Given a function f on [0,1] and a wavelet-type expansion of f , we introduce a new algorithm providing an approximation $\tilde f of f with a prescribed number D of nonzero coefficients in its expansion. This algorithm depends only on the number of coefficients to be kept and not on any smoothness assumption on f . Nevertheless it provides the optimal rate D -α of approximation with respect to the L q -norm when f belongs to some Besov space B α p,∈fty whenever α&gt;(1/p-1/q) + . These results extend to more general expansions including splines and piecewise polynomials and to multivariate functions. Moreover, this construction allows us to compute easily the metric entropy of Besov balls.</subfield>
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   <subfield code="a">Key words. Signal compression, Besov spaces, Piecewise polynomials, Splines, Wavelets, Metric entropy. AMS Classification. Primary: 41A25, 41A46</subfield>
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