Title :
The Legendre Multifractal Spectrum Distribution Based on WTMM
Author :
Xiong, Gang ; Zhang, Shu-ning ; Shu, Li
Author_Institution :
Electron. Eng. Dept, NJUST, Nanjing, China
Abstract :
In this paper, the time-varying Legendre multifractal spectrum is proposed. Similar to the Wigner-Ville time-frequency analysis, the time-delayed conjugation of analyzed signal is selected as the windows function, and the quadratic time-singularity exponent distribution of the instantaneous self-correlation is deduced based on the short-time multifractal analysis, i.e. quadratic time-singularity multifractal distribution. As a special form of Legendre spectrum, the Wavelet Transform Module Maxima (WTMM)Method of the quadratic time-singularity multifractal spectrum distribution is brought forward, and simulation based on WTMM proves the validity.
Keywords :
exponential distribution; fractals; time-frequency analysis; wavelet transforms; Legendre multifractal spectrum distribution; WTMM method; Wigner-Ville time-frequency analysis; quadratic time-singularity exponent distribution; quadratic time-singularity multifractal distribution; signal analysis; time-varying Legendre multifractal spectrum; wavelet transform module maxima method; windows function; Bismuth; Discrete wavelet transforms; Fractals; Multiresolution analysis; Wavelet coefficients; Singularity Spectrum; Time-Legendre spectrum; WTMM;
Conference_Titel :
Chaos-Fractals Theories and Applications (IWCFTA), 2010 International Workshop on
Conference_Location :
Kunming, Yunnan
Print_ISBN :
978-1-4244-8815-5
DOI :
10.1109/IWCFTA.2010.67