Title :
Parameter estimation of Champernowne distribution for modeling ocean ambient noise
Author :
Chakrasali, Sadashiva ; Sunitha, Y.N. ; Sharathkumar, Y.N.
Author_Institution :
E & C Dept., MSRIT. MSR Nagar, Bangalore, India
Abstract :
It is important to characterize the noise accurately before including its structure in the formulations of algorithms. The distribution suggested in this paper is suitable for the ambient noise having kurtosis between 2.30 and 3. The ambient noise having low kurtosis is mainly dominated by shipping traffic which is having low frequency range.
Keywords :
acoustic noise; parameter estimation; ships; statistical distributions; traffic; underwater sound; Champernowne distribution; kurtosis; noise characterization; ocean ambient noise modeling; parameter estimation; shipping traffic; Conferences; Distance measurement; Electronic mail; Histograms; Noise; Oceans; Champernowne noise; Kurtosis; model; non-Gaussian; ocean ambient noise;
Conference_Titel :
Information & Communication Technologies (ICT), 2013 IEEE Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-5759-3
DOI :
10.1109/CICT.2013.6558051
