PENGENALAN POLA SINYAL SEISMIK GUNUNG MERAPI DENGAN ALIHRAGAM GELOMBANG-SINGKAT

Authors

  • Muhammad Andang Novianta

DOI:

https://doi.org/10.34151/technoscientia.v0i0.2013

Keywords:

Seismic, Wavelet Transform, Pattern Recognition

Abstract

Seismogram data from the monitoring representative the raw file in contain vario-us each information about circumstance perceived. The wavelet transform is methode can by us for indicating data and operator function in the different frequency element. Pattern recognition process seismic signal using wavelet transform have the higher level efficacy opportunity. By the wavelet enable time-frequency location. Thresholding method to limit and eliminate some part on the signal which are not important. By determining value of data parameter, the parts of limited the can be considered by a mixed noise. 

References

Kanata Bulkis, 2001, Analisis Sinyal Seismik pada Gunung Merapi untuk Estimasi jenis gempa dengan menggunakan Jaring-an Syaraf Tiruan, Thesis Pro-gram Pasca Sarjana, Univer-sitas Gadjah Mada.
Chang S. Grace, 2003, Adaptive Wa-velet Thresholding for Image Denoising and Compression, Student Member, IEEE, Uni-versity of California.
C. Olhede Sofia And Andrew T. Wal-den, 2003, ‘Analytic’ Wavelet Thresholding, Department of Mathematics, Imperial College London, SW7 2AZ, London.
Duda O Richard dan Peter E Hart, 2001, Pattern Clasification and Scene Analysis, Satanford Re-search Institute, Menlo Park California.
Susilawati Hesti, 2001, Aplikasi Jari-ngan Syaraf Tiruan untuk pe-ngenalan suara pada lingkung-an berderau, Thesis Program Pasca Sarjana, Universitas Gadjah Mada.
Tian Yuxin, 2000, Target Detection and Classification using seis-mic signal processing in un-attended ground sensor sys-tem, Texas A & M , University.

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Published

22-02-2019

How to Cite

Novianta, M. A. (2019). PENGENALAN POLA SINYAL SEISMIK GUNUNG MERAPI DENGAN ALIHRAGAM GELOMBANG-SINGKAT. JURNAL TEKNOLOGI TECHNOSCIENTIA, 244–250. https://doi.org/10.34151/technoscientia.v0i0.2013