Nonlinear exploratory data analysis applied to seismic signals

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3931 LNCS, Issue , 2006, Pages 70-77

  Esposito, Antonietta M ^a,b   Scarpetta, Silvia ^a   Giudicepietro, Flora ^b   Masiello, Stefano ^a   Pugliese, Luca ^d   Esposito, Anna ^c  

^a UNIVERSITY OF SALERNO   (Italy)

^b OSSERVATORIO VESUVIANO   (Italy)

^c SECOND UNIVERSITY OF NAPLES   (Italy)

^d Vietri sul Mare SA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CURVILINEAR COMPONENT ANALYSIS (CCA); MICROTREMORS; SEISMIC SIGNALS; UNSUPERVISED ANALYSIS;

ALGORITHMS; LANDSLIDES; NONLINEAR SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; SEISMIC PROSPECTING; SELF ORGANIZING MAPS; SIGNAL PROCESSING;

DATA REDUCTION;

EID: 33745768849     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11731177_11     Document Type: Conference Paper

References (9)

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8. Esposito, A. M., Giudicepietro, F., Scarpetta, S., D'Auria, L., Marinaro, M., Martini M.: Automatic Discrimination of Landslides Seismic Signals at Stromboli Volcano using Neural Network (submitted)
9. Masiello, S., Esposito, A. M., Scarpetta, S., Giudicepietro, F., Esposito, A., Marinaro, M.: Application of Self Organized Maps and Curvilinear Components Analysis to the Discrimination of Vesuvius Seismic Signals. To appear in the Proceedings of the Workshop on Self Organizing Map (WSOM), Paris, 5-8 September (2005)