Author:
V. Znak
Affiliation:
The Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Russian Federation
Keyword(s):
Cluster analysis, Analysis of periodic signals, Extraction of signals.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Decision Support Systems
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Signal Processing, Sensors, Systems Modeling and Control
;
Time and Frequency Response
;
Time-Frequency Analysis
Abstract:
An important task of geophysical research is in the answer to the question about the quality of signals, i.e., estimating the locus of the signal and the degree of their presence in noises. Such indications determine the degree of trust to consequent estimations (e.g., estimations of wave arrival times). As seismic data are periodic signals in their nature, conventional means for examining such signals are Fourier and spectral analyses. However, this method does not allow us to clear up questions about probability of signals presence and their locus in the recorded data. We consider another approach – the cluster analysis of periodic signals, propose the formal conditions which must be satisfied by a period of signal existence, and give some results of analysis of real data recorded in field conditions.