POWER LAWS, WEAK l p ESTIMATE AND WAVELET DE-NOISING
TOMOHIRO MATSUOKA, Toshihide Ueno, Takashi Adachi, Masami Okada · Fractals · 2000
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.