Power laws, weak lp estimate and wavelet de-noising

被引：1

作者：

Matsuoka, T ^{[1
]}

Ueno, T ^{[1
]}

Adachi, T ^{[1
]}

Okada, M ^{[1
]}

机构：

[1] Tohoku Univ, Grad Sch Informat Sci, Aoba Ku, Sendai, Miyagi 9808577, Japan

来源：

FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY | 2000年 / 8卷 / 01期

关键词：

D O I：

10.1142/S0218348X00000093

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Data with power law distributions are studied by a scaling argument. Then related weak l(p) sequences are characterized. As an application we can show in a transparent way that the wavelet de-noising theory holds under a mild assumption which is given by means of weak l(p) (quasi-)norms.

引用

页码：73 / 83

页数：11

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