High-Resolution Time-Frequency Methods' Performance Analysis
<p/> <p>This work evaluates the performance of high-resolution quadratic time-frequency distributions (TFDs) including the ones obtained by the reassignment method, the optimal radially Gaussian kernel method, the t-f autoregressive moving-average spectral estimation method and the neura...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2010-01-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Online Access: | http://asp.eurasipjournals.com/content/2010/806043 |
| _version_ | 1811334706056134656 |
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| author | Ahmad Khan Adnan Kashif FaisalMahmood Bashir Sajid Shafi Imran Ahmad Jamil Shah SyedIsmail Ikram AtaulAziz |
| author_facet | Ahmad Khan Adnan Kashif FaisalMahmood Bashir Sajid Shafi Imran Ahmad Jamil Shah SyedIsmail Ikram AtaulAziz |
| author_sort | Ahmad Khan Adnan |
| collection | DOAJ |
| description | <p/> <p>This work evaluates the performance of high-resolution quadratic time-frequency distributions (TFDs) including the ones obtained by the reassignment method, the optimal radially Gaussian kernel method, the t-f autoregressive moving-average spectral estimation method and the neural network-based method. The approaches are rigorously compared to each other using several objective measures. Experimental results show that the neural network-based TFDs are better in concentration and resolution performance based on various examples.</p> |
| first_indexed | 2024-04-13T17:13:01Z |
| format | Article |
| id | doaj.art-8f0c01d6b41742fc82964ae28da80dc3 |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-04-13T17:13:01Z |
| publishDate | 2010-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-8f0c01d6b41742fc82964ae28da80dc32022-12-22T02:38:13ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802010-01-0120101806043High-Resolution Time-Frequency Methods' Performance AnalysisAhmad Khan AdnanKashif FaisalMahmoodBashir SajidShafi ImranAhmad JamilShah SyedIsmailIkram AtaulAziz<p/> <p>This work evaluates the performance of high-resolution quadratic time-frequency distributions (TFDs) including the ones obtained by the reassignment method, the optimal radially Gaussian kernel method, the t-f autoregressive moving-average spectral estimation method and the neural network-based method. The approaches are rigorously compared to each other using several objective measures. Experimental results show that the neural network-based TFDs are better in concentration and resolution performance based on various examples.</p>http://asp.eurasipjournals.com/content/2010/806043 |
| spellingShingle | Ahmad Khan Adnan Kashif FaisalMahmood Bashir Sajid Shafi Imran Ahmad Jamil Shah SyedIsmail Ikram AtaulAziz High-Resolution Time-Frequency Methods' Performance Analysis EURASIP Journal on Advances in Signal Processing |
| title | High-Resolution Time-Frequency Methods' Performance Analysis |
| title_full | High-Resolution Time-Frequency Methods' Performance Analysis |
| title_fullStr | High-Resolution Time-Frequency Methods' Performance Analysis |
| title_full_unstemmed | High-Resolution Time-Frequency Methods' Performance Analysis |
| title_short | High-Resolution Time-Frequency Methods' Performance Analysis |
| title_sort | high resolution time frequency methods performance analysis |
| url | http://asp.eurasipjournals.com/content/2010/806043 |
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