Denoising performance of modified dual tree complex wavelet transform

Gorkem Serbes*, Nizamettin Aydin

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

1 Atıf (Scopus)

Özet

Dual-tree complex wavelet transform (DTCWT) is a shift invariant transform with limited redundancy. Complex quadrature signals are dual channel signals obtained from the systems employing quadrature demodulation. An example of such signals is quadrature Doppler signal obtained from blood flow analysis systems. Prior to processing Doppler signals using the DTCWT, directional flow signals must be obtained and then two separate DTCWT applied, increasing the computational complexity. In order to decrease computational complexity, a modified DTCWT (MDTCWT) algorithm can be used (1). In this study denoising performance of MDTCWT is compared with DTCWT and conventional Discrete wavelet transform (DWT) by using simulation signals. Results demonstrate that the MDTCWT based denoising outperforms conventional discrete wavelet based denoising.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıITAB 2010 - 10th International Conference on Information Technology and Applications in Biomedicine
Ana bilgisayar yayını alt yazısıEmerging Technologies for Patient Specific Healthcare
DOI'lar
Yayın durumuYayınlandı - 2010
Harici olarak yayınlandıEvet
Etkinlik10th International Conference on Information Technology and Applications in Biomedicine: Emerging Technologies for Patient Specific Healthcare, ITAB 2010 - Corfu, Greece
Süre: 2 Kas 20105 Kas 2010

Yayın serisi

AdıProceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB

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???event.eventtypes.event.conference???10th International Conference on Information Technology and Applications in Biomedicine: Emerging Technologies for Patient Specific Healthcare, ITAB 2010
Ülke/BölgeGreece
ŞehirCorfu
Periyot2/11/105/11/10

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