Sa'adah, Mamba'us (2019) Deteksi Instrumen Identik Menggunakan Least Mean Square. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Gamelan adalah salah satu alat musik tradisional Indonesia. Gamelan memiliki variasi dalam hal frekuensi dasar, amplitudo, dan sinyal envelope, karena konstruksi buatan tangan dan gaya bermainnya. Saat memainkan instrumen gamelan, banyak instrumen identik dimainkan secara bersamaan. Di dalam instrumen gamelan sering dijumpai instrumen yang identik seperti saron lebih dari satu. Dalam riset ini, akan dideteksi jumlah instrumen identik yang dimainkan secara bersamaan. Riset ini dapat menghitung berapa banyak instrumen identik yang dimainkan pada saat yang bersamaan. Kami menerapkan filter adaptif Least Mean Square (LMS) untuk mendeteksi instrumen yang identik. Instrumen identik dapat terdeteksi pada 0,03 ms.
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Gamelan is one of Indonesia's traditional musical instruments. Gamelan has variations in basic frequency, amplitude, and envelope signals, due to handmade construction and playing style. When playing gamelan instruments, many identical music is played simultaneously. The gamelan instruments are often reached by instruments that are identical to more than one saron. In this research, the number of identic instruments played simultaneously will be detected. This research can calculate how many identical instruments are played at the same time. We applied an adaptive Least Mean Square (LMS) filter to detect identical instruments. Identical instruments can be detected at 0.03 ms.
| Item Type: | Thesis (Masters) |
|---|---|
| Additional Information: | RTE 621.389 3 Saa d |
| Uncontrolled Keywords: | Adaptive LMS, Fitur Gamelan, Instrumen Identik, Gamelan feature, Identical Instrument |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.9 Signal processing. |
| Divisions: | Faculty of Electrical Technology > Electrical Engineering > 20101-(S2) Master Thesis |
| Depositing User: | Saadah Mambaus |
| Date Deposited: | 25 May 2021 07:21 |
| Last Modified: | 06 Aug 2021 05:35 |
| URI: | http://repository.its.ac.id/id/eprint/60173 |
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