Experiment for time domain analysis using MATLAB app designer (I)

The study concentrates on the elaboration and realization of two interactive MATLAB GUI applications designed for time-domain analysis in the domain of signal processing education. The application platform GUI of MATLAB is designed to offer to the user a simple and entertaining approach to fundament...

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Main Author: Chew, Hoon Goek
Other Authors: Ng Boon Poh
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/176179
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1761792024-05-17T15:43:42Z Experiment for time domain analysis using MATLAB app designer (I) Chew, Hoon Goek Ng Boon Poh School of Electrical and Electronic Engineering EBPNG@ntu.edu.sg Engineering The study concentrates on the elaboration and realization of two interactive MATLAB GUI applications designed for time-domain analysis in the domain of signal processing education. The application platform GUI of MATLAB is designed to offer to the user a simple and entertaining approach to fundamental time-domain questions and techniques, including the properties of the LTI systems, the convolution, impulse response, frequency estimations as well as the impact of different filters. These programs largely focus on educational resources, interactive features, and signal processing tools as a way of encouraging self-learning and exploration. In this study, the design and application of interactive MATLAB GUI apps for time-domain analysis within the learning process of signal processing are presented. These apps me to have the user easily fundamental concepts in system of LTI these consists of convolution, impulse response, frequency response impulse, and filtering effects and so on. Adopting an end user-centered design method, apps offer a fresh interface complete with multiple help elements in the form of tooltips, explanatory text, multimedia elements, and tutorials. This interface works as a hub that connects the user to the content and enhances the ability to understand complexes contents. These multimedia-based programs, with educational content, interactive elements, and algorithm for signal processing, will help to deliver a complete learning experience. After undergoing testing on a broad scale, being re-worked with users’ feedback, and a through-and-through design, the GUI software solutions for will be a set of comprehensive tools that users will be able to use to learn more about the principles of time-domain analysis as well as their practical applications. The groundbreaking research work outlines the progress, difficulties, and the grounds for the future research in relation to the MATLAB GUI Apps for signal processing training. Bachelor's degree 2024-05-15T01:05:30Z 2024-05-15T01:05:30Z 2024 Final Year Project (FYP) Chew, H. G. (2024). Experiment for time domain analysis using MATLAB app designer (I). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176179 https://hdl.handle.net/10356/176179 en A3132-231 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
spellingShingle Engineering
Chew, Hoon Goek
Experiment for time domain analysis using MATLAB app designer (I)
description The study concentrates on the elaboration and realization of two interactive MATLAB GUI applications designed for time-domain analysis in the domain of signal processing education. The application platform GUI of MATLAB is designed to offer to the user a simple and entertaining approach to fundamental time-domain questions and techniques, including the properties of the LTI systems, the convolution, impulse response, frequency estimations as well as the impact of different filters. These programs largely focus on educational resources, interactive features, and signal processing tools as a way of encouraging self-learning and exploration. In this study, the design and application of interactive MATLAB GUI apps for time-domain analysis within the learning process of signal processing are presented. These apps me to have the user easily fundamental concepts in system of LTI these consists of convolution, impulse response, frequency response impulse, and filtering effects and so on. Adopting an end user-centered design method, apps offer a fresh interface complete with multiple help elements in the form of tooltips, explanatory text, multimedia elements, and tutorials. This interface works as a hub that connects the user to the content and enhances the ability to understand complexes contents. These multimedia-based programs, with educational content, interactive elements, and algorithm for signal processing, will help to deliver a complete learning experience. After undergoing testing on a broad scale, being re-worked with users’ feedback, and a through-and-through design, the GUI software solutions for will be a set of comprehensive tools that users will be able to use to learn more about the principles of time-domain analysis as well as their practical applications. The groundbreaking research work outlines the progress, difficulties, and the grounds for the future research in relation to the MATLAB GUI Apps for signal processing training.
author2 Ng Boon Poh
author_facet Ng Boon Poh
Chew, Hoon Goek
format Final Year Project
author Chew, Hoon Goek
author_sort Chew, Hoon Goek
title Experiment for time domain analysis using MATLAB app designer (I)
title_short Experiment for time domain analysis using MATLAB app designer (I)
title_full Experiment for time domain analysis using MATLAB app designer (I)
title_fullStr Experiment for time domain analysis using MATLAB app designer (I)
title_full_unstemmed Experiment for time domain analysis using MATLAB app designer (I)
title_sort experiment for time domain analysis using matlab app designer (i)
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/176179
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