Performance evaluation of music and minimum norm Eigenvector Algorithms in resolving noisy multiexponential signals
Abstract—Eigenvector methods are gaining increasing acceptance in the area of spectrum estimation. This paper presents a successful attempt at testing and evaluating the performance of two of the most popular types of subspace techniques in determining the parameters of multiexponential signals...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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World Academy of Science, Engineering and Technology (W A S E T)
2007
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| Online Access: | http://irep.iium.edu.my/6955/ http://irep.iium.edu.my/6955/1/Performance_Evaluation_of_Music_and_Minimum.pdf |
| _version_ | 1848776756659486720 |
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| author | Jibia, Abdussamad Umar Salami, Momoh Jimoh Eyiomika |
| author_facet | Jibia, Abdussamad Umar Salami, Momoh Jimoh Eyiomika |
| author_sort | Jibia, Abdussamad Umar |
| building | IIUM Repository |
| collection | Online Access |
| description | Abstract—Eigenvector methods are gaining increasing
acceptance in the area of spectrum estimation. This paper presents a
successful attempt at testing and evaluating the performance of two
of the most popular types of subspace techniques in determining the
parameters of multiexponential signals with real decay constants
buried in noise. In particular, MUSIC (Multiple Signal
Classification) and minimum-norm techniques are examined. It is
shown that these methods perform almost equally well on
multiexponential signals with MUSIC displaying better defined
peaks |
| first_indexed | 2025-11-14T14:35:09Z |
| format | Article |
| id | iium-6955 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:35:09Z |
| publishDate | 2007 |
| publisher | World Academy of Science, Engineering and Technology (W A S E T) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-69552013-12-13T02:04:35Z http://irep.iium.edu.my/6955/ Performance evaluation of music and minimum norm Eigenvector Algorithms in resolving noisy multiexponential signals Jibia, Abdussamad Umar Salami, Momoh Jimoh Eyiomika T Technology (General) Abstract—Eigenvector methods are gaining increasing acceptance in the area of spectrum estimation. This paper presents a successful attempt at testing and evaluating the performance of two of the most popular types of subspace techniques in determining the parameters of multiexponential signals with real decay constants buried in noise. In particular, MUSIC (Multiple Signal Classification) and minimum-norm techniques are examined. It is shown that these methods perform almost equally well on multiexponential signals with MUSIC displaying better defined peaks World Academy of Science, Engineering and Technology (W A S E T) 2007 Article PeerReviewed application/pdf en http://irep.iium.edu.my/6955/1/Performance_Evaluation_of_Music_and_Minimum.pdf Jibia, Abdussamad Umar and Salami, Momoh Jimoh Eyiomika (2007) Performance evaluation of music and minimum norm Eigenvector Algorithms in resolving noisy multiexponential signals. World Academy of Science, Engineering and Technology, 32. pp. 24-28. ISSN 1307-6884 |
| spellingShingle | T Technology (General) Jibia, Abdussamad Umar Salami, Momoh Jimoh Eyiomika Performance evaluation of music and minimum norm Eigenvector Algorithms in resolving noisy multiexponential signals |
| title | Performance evaluation of music and minimum norm Eigenvector Algorithms in resolving noisy multiexponential signals |
| title_full | Performance evaluation of music and minimum norm Eigenvector Algorithms in resolving noisy multiexponential signals |
| title_fullStr | Performance evaluation of music and minimum norm Eigenvector Algorithms in resolving noisy multiexponential signals |
| title_full_unstemmed | Performance evaluation of music and minimum norm Eigenvector Algorithms in resolving noisy multiexponential signals |
| title_short | Performance evaluation of music and minimum norm Eigenvector Algorithms in resolving noisy multiexponential signals |
| title_sort | performance evaluation of music and minimum norm eigenvector algorithms in resolving noisy multiexponential signals |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/6955/ http://irep.iium.edu.my/6955/1/Performance_Evaluation_of_Music_and_Minimum.pdf |