Open AccessApplication of klauder wavelet for generation of synthetic seismic signals
Author(s) -
S. Neelima,
A Saritha,
Kumar Sunkaria Ramesh,
S. Koteswara Rao
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.7.11092
Subject(s) - wavelet , noise (video) , signal (programming language) , synthetic seismogram , geology , seismology , computer science , wavelet transform , acoustics , algorithm , artificial intelligence , physics , image (mathematics) , programming language
Analysis of reflected seismic waves gives the information about the earth and its inner core. This aids in monitoring earthquake, petroleum exploration, determination of the earth’s core structure, etc. Wavelet transforms is an efficient tool for analysis of seismic reflected signals. These transforms helps in complete extraction of the seismic signal buried in noise. In this paper an attempt is made to analyze a synthetic seismic signal by using Klauder wavelets. The synthetic seismic signal is extracted by convoluting with the Klauder wavelet. Noise is completely removed as the wavelet spans a large spectrum of signals.