Subband-Adaptive Shrinkage for Denoising of ECG Signals
<p/> <p>This paper describes subband dependent adaptive shrinkage function that generalizes <it>hard</it> and <it>soft</it> shrinkages proposed by Donoho and Johnstone (1994). The proposed new class of shrinkage function has continuous derivative, which has been s...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2006-01-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Online Access: | http://dx.doi.org/10.1155/ASP/2006/81236 |
| _version_ | 1818915966642290688 |
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| author | Kumaravel N Poornachandra S |
| author_facet | Kumaravel N Poornachandra S |
| author_sort | Kumaravel N |
| collection | DOAJ |
| description | <p/> <p>This paper describes subband dependent adaptive shrinkage function that generalizes <it>hard</it> and <it>soft</it> shrinkages proposed by Donoho and Johnstone (1994). The proposed new class of shrinkage function has continuous derivative, which has been simulated and tested with normal and abnormal ECG signals with added standard Gaussian noise using MATLAB. The recovered signal is visually pleasant compared with other existing shrinkage functions. The implication of the proposed shrinkage function in denoising and data compression is discussed.</p> |
| first_indexed | 2024-12-20T00:10:41Z |
| format | Article |
| id | doaj.art-52e3436592af40b086b80e26e7b86a07 |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-12-20T00:10:41Z |
| publishDate | 2006-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-52e3436592af40b086b80e26e7b86a072022-12-21T20:00:31ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802006-01-0120061081236Subband-Adaptive Shrinkage for Denoising of ECG SignalsKumaravel NPoornachandra S<p/> <p>This paper describes subband dependent adaptive shrinkage function that generalizes <it>hard</it> and <it>soft</it> shrinkages proposed by Donoho and Johnstone (1994). The proposed new class of shrinkage function has continuous derivative, which has been simulated and tested with normal and abnormal ECG signals with added standard Gaussian noise using MATLAB. The recovered signal is visually pleasant compared with other existing shrinkage functions. The implication of the proposed shrinkage function in denoising and data compression is discussed.</p>http://dx.doi.org/10.1155/ASP/2006/81236 |
| spellingShingle | Kumaravel N Poornachandra S Subband-Adaptive Shrinkage for Denoising of ECG Signals EURASIP Journal on Advances in Signal Processing |
| title | Subband-Adaptive Shrinkage for Denoising of ECG Signals |
| title_full | Subband-Adaptive Shrinkage for Denoising of ECG Signals |
| title_fullStr | Subband-Adaptive Shrinkage for Denoising of ECG Signals |
| title_full_unstemmed | Subband-Adaptive Shrinkage for Denoising of ECG Signals |
| title_short | Subband-Adaptive Shrinkage for Denoising of ECG Signals |
| title_sort | subband adaptive shrinkage for denoising of ecg signals |
| url | http://dx.doi.org/10.1155/ASP/2006/81236 |
| work_keys_str_mv | AT kumaraveln subbandadaptiveshrinkagefordenoisingofecgsignals AT poornachandras subbandadaptiveshrinkagefordenoisingofecgsignals |