Improved AF implementation for time-frequency analysis
In this MSc project, time-frequency representation (TFR) and its application are addressed. The main contribution includes the proposal for an improved Ambiguity Function (AF) implementation, appropriate TFR method selection and the applications using real speech signals.
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2008
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Online Access: | http://hdl.handle.net/10356/4444 |
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sg-ntu-dr.10356-44442023-07-04T15:14:04Z Improved AF implementation for time-frequency analysis Jiang, Ting Ying Farook Sattar School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Mathematics of computing In this MSc project, time-frequency representation (TFR) and its application are addressed. The main contribution includes the proposal for an improved Ambiguity Function (AF) implementation, appropriate TFR method selection and the applications using real speech signals. Master of Science (Signal Processing) 2008-09-17T09:51:36Z 2008-09-17T09:51:36Z 2005 2005 Thesis http://hdl.handle.net/10356/4444 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Computer science and engineering::Mathematics of computing Jiang, Ting Ying Improved AF implementation for time-frequency analysis |
description |
In this MSc project, time-frequency representation (TFR) and its application are addressed. The main contribution includes the proposal for an improved Ambiguity Function (AF) implementation, appropriate TFR method selection and the applications using real speech signals. |
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Farook Sattar |
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Farook Sattar Jiang, Ting Ying |
format |
Theses and Dissertations |
author |
Jiang, Ting Ying |
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Jiang, Ting Ying |
title |
Improved AF implementation for time-frequency analysis |
title_short |
Improved AF implementation for time-frequency analysis |
title_full |
Improved AF implementation for time-frequency analysis |
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Improved AF implementation for time-frequency analysis |
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Improved AF implementation for time-frequency analysis |
title_sort |
improved af implementation for time-frequency analysis |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/4444 |
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1772828751265005568 |