Analisis algoritma interpolasi bilinear dan interpolasi tetrahedral pada head related transfer function

Anggara, Jovan (2016) Analisis algoritma interpolasi bilinear dan interpolasi tetrahedral pada head related transfer function. Bachelor Thesis thesis, Universitas Multimedia Nusantara.

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Abstract

Suara tiga dimensi sangat banyak digunakan dalam berbagai macam media saat ini, seperti perfilman, video game, dan musikal. Dalam menghasilkan suara tiga dimensi, interpolasi Head Related Transfer Function (HRTF) sangat diperlukan karena keterbatasan real-time system dalam menampung HRTF yang didapat dari pengukuran. Selain itu juga dapat mengurangi keperluan untuk mengukur HRTF yang jumlahnya sangat banyak. Penelitian ini menggunakan PKU-IOA HRTF Database dan membahas tiga teknik interpolasi yakni rectangular, triangular, dan tetrahedral. Dari hasil percobaan, yang dilakukan, teknik rectangular memiliki nilai mean square error terbaik sebesar 4,3363 %, dan spectral distortion terbaik sebesar 2,8246 dB. Teknik triangular memiliki nilai mean square error terbaik sebesar 4,9626 %, dan spectral distortion terbaik sebesar 3,2646 dB. Teknik tetrahedral memiliki nilai mean square error sebesar 3,7231 %, dan spectral distortion sebesar 2,7852 dB. Berdasarkan hasil MSE dan SD, teknik tetrahedral merupakan teknik interpolasi terbaik.

Item Type:	Thesis (Bachelor Thesis)
Subjects:	000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming > 005.2 Programming for Specific Computers, Algorithm, HTML, PHP, java, C++ 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming > 005.5 Application / Software
Divisions:	Faculty of Engineering & Informatics > Computer Engineering
Depositing User:	Administrator UMN Library
Date Deposited:	25 Jul 2017 06:46
Last Modified:	22 Apr 2022 07:21
URI:	https://kc.umn.ac.id/id/eprint/1312

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