Hilbert transform in ultrasound medical image detection
In this project, it starts from a basic study on the medical ultrasound image processing. Then it moves the focus into Hilbert transform study. During the study, it is not only the product theory of Hilbert transform has been explored but also a new solution of envelope detection is discovered ba...
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sg-ntu-dr.10356-425162023-07-07T18:00:42Z Hilbert transform in ultrasound medical image detection Jiang, Chao Wang Dan Wei School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics In this project, it starts from a basic study on the medical ultrasound image processing. Then it moves the focus into Hilbert transform study. During the study, it is not only the product theory of Hilbert transform has been explored but also a new solution of envelope detection is discovered based on the product theory. The new solution shows that the envelope of product of two non-overlapping signals is the product between rectification (absolute) of low frequency signal and envelope of high frequency signal. Besides this, the product of two overlapping spectrum signal is explored. Bachelor of Engineering 2010-12-30T01:39:25Z 2010-12-30T01:39:25Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/42516 en Nanyang Technological University 71 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Jiang, Chao Hilbert transform in ultrasound medical image detection |
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In this project, it starts from a basic study on the medical ultrasound image processing.
Then it moves the focus into Hilbert transform study. During the study, it is not only the
product theory of Hilbert transform has been explored but also a new solution of
envelope detection is discovered based on the product theory. The new solution shows
that the envelope of product of two non-overlapping signals is the product between
rectification (absolute) of low frequency signal and envelope of high frequency signal.
Besides this, the product of two overlapping spectrum signal is explored. |
author2 |
Wang Dan Wei |
author_facet |
Wang Dan Wei Jiang, Chao |
format |
Final Year Project |
author |
Jiang, Chao |
author_sort |
Jiang, Chao |
title |
Hilbert transform in ultrasound medical image detection |
title_short |
Hilbert transform in ultrasound medical image detection |
title_full |
Hilbert transform in ultrasound medical image detection |
title_fullStr |
Hilbert transform in ultrasound medical image detection |
title_full_unstemmed |
Hilbert transform in ultrasound medical image detection |
title_sort |
hilbert transform in ultrasound medical image detection |
publishDate |
2010 |
url |
http://hdl.handle.net/10356/42516 |
_version_ |
1772826845816815616 |