Title :
A new statistical model for nonRayleigh amplitude signals
Author :
Eltoft, Torbjorn
Author_Institution :
Dept. of Phys., Tromso Univ., Norway
Abstract :
In this paper, we introduce a new statistical distribution for modeling nonRayleigh amplitude statistics. We call the new model the Rician Inverse Gaussian (RilG) distribution. The theoretical basis of the model is briefly presented, and we give an EM-type algorithm for estimating its parameters from data. Finally, we include some modeling examples, where we have tested the ability to fit to histograms of linear and log-compressed medical ultrasound data.
Keywords :
Gaussian distribution; amplitude estimation; biomedical ultrasonics; image classification; EM-type algorithm; Rician Inverse Gaussian distribution; log-compressed medical ultrasound data; nonRayleigh amplitude statistics; statistical distribution; Histograms; Inverse problems; Parameter estimation; Physics; Probability density function; Rayleigh scattering; Rician channels; Signal detection; Speckle; Statistical distributions;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1246941
