Diagnosis of nonstationary processes using reduced interference time-frequency distribution
This project is focused on the application of the start-of-the-art signal processing techniques to the biomedical applications: diagnostics of TMD (Temporomandibular Joint Disorder). This report starts with the background of the time frequency analysis, followed by the detailed investigation of time...
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Format: | Research Report |
Published: |
2008
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Online Access: | http://hdl.handle.net/10356/6985 |
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author | Koh, Christopher Kok Hwee. Williams, William J. Widmalm, Sven E. |
author2 | School of Mechanical and Production Engineering |
author_facet | School of Mechanical and Production Engineering Koh, Christopher Kok Hwee. Williams, William J. Widmalm, Sven E. |
author_sort | Koh, Christopher Kok Hwee. |
collection | NTU |
description | This project is focused on the application of the start-of-the-art signal processing techniques to the biomedical applications: diagnostics of TMD (Temporomandibular Joint Disorder). This report starts with the background of the time frequency analysis, followed by the detailed investigation of time frequency properties, which served as the basis of our signal processing algorithms. |
first_indexed | 2024-10-01T02:47:19Z |
format | Research Report |
id | ntu-10356/6985 |
institution | Nanyang Technological University |
last_indexed | 2024-10-01T02:47:19Z |
publishDate | 2008 |
record_format | dspace |
spelling | ntu-10356/69852023-03-04T18:06:11Z Diagnosis of nonstationary processes using reduced interference time-frequency distribution Koh, Christopher Kok Hwee. Williams, William J. Widmalm, Sven E. School of Mechanical and Production Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics This project is focused on the application of the start-of-the-art signal processing techniques to the biomedical applications: diagnostics of TMD (Temporomandibular Joint Disorder). This report starts with the background of the time frequency analysis, followed by the detailed investigation of time frequency properties, which served as the basis of our signal processing algorithms. 2008-09-17T14:38:54Z 2008-09-17T14:38:54Z 2000 2000 Research Report http://hdl.handle.net/10356/6985 Nanyang Technological University application/pdf |
spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Koh, Christopher Kok Hwee. Williams, William J. Widmalm, Sven E. Diagnosis of nonstationary processes using reduced interference time-frequency distribution |
title | Diagnosis of nonstationary processes using reduced interference time-frequency distribution |
title_full | Diagnosis of nonstationary processes using reduced interference time-frequency distribution |
title_fullStr | Diagnosis of nonstationary processes using reduced interference time-frequency distribution |
title_full_unstemmed | Diagnosis of nonstationary processes using reduced interference time-frequency distribution |
title_short | Diagnosis of nonstationary processes using reduced interference time-frequency distribution |
title_sort | diagnosis of nonstationary processes using reduced interference time frequency distribution |
topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics |
url | http://hdl.handle.net/10356/6985 |
work_keys_str_mv | AT kohchristopherkokhwee diagnosisofnonstationaryprocessesusingreducedinterferencetimefrequencydistribution AT williamswilliamj diagnosisofnonstationaryprocessesusingreducedinterferencetimefrequencydistribution AT widmalmsvene diagnosisofnonstationaryprocessesusingreducedinterferencetimefrequencydistribution |