Denoising performance of modified dual tree complex wavelet transform

Gorkem Serbes*, Nizamettin Aydin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationITAB 2010 - 10th International Conference on Information Technology and Applications in Biomedicine
Subtitle of host publicationEmerging Technologies for Patient Specific Healthcare
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event10th International Conference on Information Technology and Applications in Biomedicine: Emerging Technologies for Patient Specific Healthcare, ITAB 2010 - Corfu, Greece
Duration: 2 Nov 20105 Nov 2010

Publication series

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

Conference

Conference10th International Conference on Information Technology and Applications in Biomedicine: Emerging Technologies for Patient Specific Healthcare, ITAB 2010
Country/TerritoryGreece
CityCorfu
Period2/11/105/11/10

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