PERANCANGAN SISTEM FILTER PENGOLAHAN SINYAL AUDIO SECARA ADAPTIF BERDASARKAN LEAST MEAN SQUARE DAN FAST FOURIER TRANSFORM

SAFITRI, AMELIA REGITA and Kurniasari, Puspa (2019) PERANCANGAN SISTEM FILTER PENGOLAHAN SINYAL AUDIO SECARA ADAPTIF BERDASARKAN LEAST MEAN SQUARE DAN FAST FOURIER TRANSFORM. Undergraduate thesis, Sriwijaya University.

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Abstract

Communication media that is often used by humans is voice. The voice that is spoken must arrive and can be clearly understood to its destination. However, the environment contained in the sound source is not always supportive when conveying sound information due to noise or background issues that lie behind the information from the sound. The problem caused by noise can be solved by using a filter to separate the original sound and the noise. This final project research will design an audio signal processing filter to remove noise from the original input sound and get an approach value like the original sound so that it can be identified properly using the LMS (Least Mean Square) and FFT (Fast Fourier Transform) signal processing methods. The original voice of women and men will be combined with rain and highways noise. The results of tests that have been done, audio filtering (Audio Filtering) using the LMS (Least Mean Square) and FFT (Fast Fourier Transform) signal processing methods has resulted in maximum MSE and SNR values for each input of 0.019574 and -7.7731dB male voice input and rain noise, 0.020483 and 5.552dB male voice input and highway noise, 0.0031027 and -15.8251dB female input and rain, 0.0028782 and -5.9881dB female input and highway noise and accuracy levels of 95 %. Key words : filter, Least Mean Square , Fast Fourier Transform.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	filter, Least Mean Square , Fast Fourier Transform
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television > TK5105.S73 Data transmission systems Computer networks
Divisions:	03-Faculty of Engineering > 20201-Electrical Engineering (S1)
Depositing User:	Users 5118 not found.
Date Deposited:	30 Jan 2020 08:25
Last Modified:	30 Jan 2020 08:25
URI:	http://repository.unsri.ac.id/id/eprint/26670

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