Özet
The authors' model assumes that the data are generated as a convolution of an unknown wavelet with various time-scaled versions of an unknown reflectivity sequence. Their approach relies on exploiting the redundancy in the measurements due to time-scaling. No assumptions are made on the statistical properties of these signals. The deconvolution problem is solved as a quadratic minimization subject to a quadratic constraint. The results are illustrated with a simulation example.
Orijinal dil | İngilizce |
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Ana bilgisayar yayını başlığı | 1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings |
Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
Sayfalar | 477-480 |
Sayfa sayısı | 4 |
ISBN (Elektronik) | 0780305086, 9780780305083 |
DOI'lar | |
Yayın durumu | Yayınlandı - 1992 |
Harici olarak yayınlandı | Evet |
Etkinlik | 6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Victoria, Canada Süre: 7 Eki 1992 → 9 Eki 1992 |
Yayın serisi
Adı | 1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings |
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???event.eventtypes.event.conference??? | 6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992 |
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Ülke/Bölge | Canada |
Şehir | Victoria |
Periyot | 7/10/92 → 9/10/92 |
Bibliyografik not
Publisher Copyright:© 1992 IEEE.