Open AccessAcoustic Signal Processing for Seabed Layer Identification
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l1024.10812s19
Subject(s) - sonar , categorization , chirp , acoustics , seabed , identification (biology) , speech recognition , signal (programming language) , geology , signal processing , parametric statistics , computer science , marine mammals and sonar , pattern recognition (psychology) , artificial intelligence , mathematics , oceanography , telecommunications , statistics , physics , radar , optics , laser , botany , biology , programming language
In this critique, chirp sonar signals are processed to classify the bottom sediments. Composed sonar data are sorted and reported. Reproduced and imitated data obtained by sonar parametric analysis is done for target categorization. This paper presents the functions of the duration made by echoes are qualified and separated. Hilbert transform is related with the spreader resound signals to estimate the degree of the underneath desire reactions.