I.A., Aziz and T., Sandran and N.S., Haron and M., Mehat
(2008)
*A proposed design for noise reduction algorithm in seismograph on high performance computing using F-K filter.*
In: International Symposium on Information Technology 2008, ITSim, 26 August 2008 through 29 August 2008, Kuala Lumpur.

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## Abstract

This paper proposes a design of noise reduction algorithm for seismic data on a High Performance Computing (HPC) environment. The algorithm of interest is the F-k filter which can be optimized by executing it using parallel processing architecture. The implementation of the above mentioned noise filtering technique comprises of 3 stages which are Fast Fourier Transform followed by F-k filtering and finally inverse of Fast Fourier Transformation. Each of the slave nodes in the cluster would have the complete filtering algorithms and would be fed with the Seismic Shot Records in the form of binary codes. The number of Shot Records that would be given to a node at a given instance varies according to the complexity of each Shot Record. Load balancing is one of the major concerns for this project and that would be accomplished by the master node which acts as the coordinator for the entire process. Â© 2008 IEEE.

Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Acoustic noise measurement; Fast Fourier transforms; Fourier analysis; High performance liquid chromatography; Information technology; Parallel algorithms; Seismic design; Seismology; Wave filters; Fast Fourier transformations; Filtering algorithms; Filtering techniques; High Performance Computing; Load balancing; Noise reduction algorithms; Number of shots; Parallel processing architectures; Seismic datums; Fourier transforms |

Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |

Departments / MOR / COE: | Departments > Computer Information Sciences |

ID Code: | 125 |

Deposited By: | Izzatdin A Aziz |

Deposited On: | 24 Feb 2010 09:52 |

Last Modified: | 19 Jan 2017 08:26 |

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