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All Journal Journal of Renewable Energy, Electrical, and Computer Engineering Andalas Journal of Electrical and Electronic Engineering Technology
Permana Putra, Fitra
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Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering

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Matlab Simulation Using Kalman Filter Algorithm to Reduce Noise in Voice Signals Permana Putra, Fitra; Kartika, Kartika; Sitti Nurfebruary, Nanda; Misriana, Misriana; G. S, Kerimzade; Siregar, Ramdhan Halid
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 1 (2024): March 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i1.13687

Abstract

Sound signals polluted by noise are a common problem in various audio applications, including communication, sound processing, and audio recording. In this article, proposes the use of Kalman Filter algorithm as an effective method to reduce noise in speech signals. Simulations are performed using Matlab software to implement the Kalman Filter algorithm on noise polluted voice signals. The study includes several important steps, including the input of noise-polluted speech signals and the implementation of the Kalman Filter to clean the signals. Simulation results are measured using commonly used audio quality metrics, such as Signal-to-Noise Ratio (SNR) and Mean Square Error (MSE), to evaluate the effectiveness of the algorithm. The results from the simulations show that the use of the Kalman Filter algorithm significantly improves the quality of noise-contaminated speech signals. These results indicate that this algorithm can be a potential solution to the problem of noise reduction in audio applications. In addition, the implementation in the Matlab environment allows for easy testing and adaptation of this algorithm for different types of audio applications. This research makes a positive contribution to the development of more efficient noise reduction techniques in speech signal processing, focusing on the use of the Kalman Filter algorithm and its implementation using Matlab software. The implications of this research can be potentially beneficial in improving the quality of sound signals in various audio application contexts.
Study of the Effect of Pink Noise, White Noise, Sinusoidal, and Real Audio Signals with MATLAB-based Sound Pressure Level Kartika; Misriana; Permana Putra, Fitra
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 5 No. 1 (2025): May 2025
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v5i1.128

Abstract

This study presents a comprehensive methodology for measuring Sound Pressure Level (SPL) utilising MATLAB software. Through analysing four distinct categories of audio signals—Pink Noise, White Noise, Sinusoidal, and Real Audio—this research aims to investigate the fundamental acoustic properties associated with each signal type. The SPL measurement process employs specialised MATLAB functions tailored to each specific signal. The results are meticulously analysed to better understand the acoustic responses regarding energy and frequency spectrum. Furthermore, visual representations of the audio signals are provided to facilitate a clearer understanding of the structure and patterns inherent in each signal type. The outcomes of this study contribute valuable insights into SPL measurement within diverse audio contexts while also advancing the understanding of MATLAB’s role in exploring acoustic characteristics. The analysis is expected to offer a refined perspective on the application of MATLAB in acoustic research, thereby showcasing its broader potential within the field of audio engineering. Consequently, this research makes a significant scientific contribution and paves the way for future advancements in the domain.
Co-Authors G. S, Kerimzade Kartika Kartika Kartika Misriana Misriana Misriana, Misriana Ramdhan Halid Siregar Sitti Nurfebruary, Nanda