A graphical approach to basic signal processing theories
Digital Signal Processing (DSP) deals with the representation of signals in the digital form, and with the processing of these signals and the information they possess. With the increase in extensive research being done in the field of signal processing, along with a corresponding increase in the...
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sg-ntu-dr.10356-407842023-07-07T16:02:07Z A graphical approach to basic signal processing theories Peng, Jun Wen. Ng Boon Poh School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Digital Signal Processing (DSP) deals with the representation of signals in the digital form, and with the processing of these signals and the information they possess. With the increase in extensive research being done in the field of signal processing, along with a corresponding increase in the sophisticated development in DSP processors, digital signal processing has become an integral part of many commercial applications. Some of the important processing techniques and theories that were developed decades ago lay the foundation of many aspects in advance signal processing methods. This project is concerned with the fundamental concepts of signal processing theories and this is addressed through the development of various programs that will illustrate basic signal theories such as fourier transform, sampling, filtering etc using a graphical approach to allow students to gain a solid foundation in signal processing knowledge before proceeding to more in-depth analysis of further theoretical models. The main software that the project will be utilizing is Matlab as the robustness of Matlab is extensive enough to allow the user to expand their knowledge of signal and systems through the interactions with the various programs designed. Bachelor of Engineering 2010-06-21T09:23:06Z 2010-06-21T09:23:06Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/40784 en Nanyang Technological University 81 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Peng, Jun Wen. A graphical approach to basic signal processing theories |
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Digital Signal Processing (DSP) deals with the representation of signals in the digital
form, and with the processing of these signals and the information they possess. With the
increase in extensive research being done in the field of signal processing, along with a
corresponding increase in the sophisticated development in DSP processors, digital signal
processing has become an integral part of many commercial applications. Some of the
important processing techniques and theories that were developed decades ago lay the
foundation of many aspects in advance signal processing methods.
This project is concerned with the fundamental concepts of signal processing theories and
this is addressed through the development of various programs that will illustrate basic
signal theories such as fourier transform, sampling, filtering etc using a graphical
approach to allow students to gain a solid foundation in signal processing knowledge
before proceeding to more in-depth analysis of further theoretical models. The main
software that the project will be utilizing is Matlab as the robustness of Matlab is
extensive enough to allow the user to expand their knowledge of signal and systems
through the interactions with the various programs designed. |
author2 |
Ng Boon Poh |
author_facet |
Ng Boon Poh Peng, Jun Wen. |
format |
Final Year Project |
author |
Peng, Jun Wen. |
author_sort |
Peng, Jun Wen. |
title |
A graphical approach to basic signal processing theories |
title_short |
A graphical approach to basic signal processing theories |
title_full |
A graphical approach to basic signal processing theories |
title_fullStr |
A graphical approach to basic signal processing theories |
title_full_unstemmed |
A graphical approach to basic signal processing theories |
title_sort |
graphical approach to basic signal processing theories |
publishDate |
2010 |
url |
http://hdl.handle.net/10356/40784 |
_version_ |
1772826981133451264 |