Field programmable gate arrays implementation of dual tree complex wavelet transform

Name: Field programmable gate arrays implementation of dual tree complex wavelet transform
Author: Canbay, F., Levent, Vecdi Emre, Serbes, G., Goren, S., Aydin, N.

İsim	Field programmable gate arrays implementation of dual tree complex wavelet transform
Yazar	Canbay, F., Levent, Vecdi Emre, Serbes, G., Goren, S., Aydin, N.
Basım Tarihi:	2015
Basım Yeri	- IEEE
Konu	Adders, Data acquisition, Discrete wavelet transforms, Embedded systems, Feature extraction, Field programmable gate arrays, Medical signal processing, Multiplying circuits, Signal denoising, Signal resolution, Time-frequency analysis, Trees (mathematics)
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1557-170X
Kayıt Numarası	b25d3109-b1d0-419f-b7d3-5630e829e146
Tarih	2015
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	Due to the inherent time-varying characteristics of physiological systems, most biomedical signals (BSs) are expected to have non-stationary character. Therefore, any appropriate analysis method for dealing with BSs should exhibit adjustable time-frequency (TF) resolution. The wavelet transform (WT) provides a TF representation of signals, which has good frequency resolution at low frequencies and good time resolution at high frequencies, resulting in an optimized TF resolution. Discrete wavelet transform (DWT), which is used in various medical signal processing applications such as denoising and feature extraction, is a fast and discretized algorithm for classical WT. However, the DWT has some very important drawbacks such as aliasing, lack of directionality, and shift-variance. To overcome these drawbacks, a new improved discrete transform named as Dual Tree Complex Wavelet Transform (DTCWT) can be used. Nowadays, with the improvements in embedded system technology, portable real-time medical devices are frequently used for rapid diagnosis in patients. In this study, in order to implement DTCWT algorithm in FPGAs, which can be used as real-time feature extraction or denoising operator for biomedical signals, a novel hardware architecture is proposed. In proposed architecture, DTCWT is implemented with only one adder and one multiplier. Additionally, considering the multi-channel outputs of biomedical data acquisition systems, this architecture is capable of running N channels in parallel.
DOI	10.1109/EMBC.2015.7319765

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Field programmable gate arrays implementation of dual tree complex wavelet transform

Yazar Canbay, F., Levent, Vecdi Emre, Serbes, G., Goren, S., Aydin, N.

Basım Tarihi 2015

Basım Yeri - IEEE

Konu Adders, Data acquisition, Discrete wavelet transforms, Embedded systems, Feature extraction, Field programmable gate arrays, Medical signal processing, Multiplying circuits, Signal denoising, Signal resolution, Time-frequency analysis, Trees (mathematics)

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1557-170X

Kayıt Numarası b25d3109-b1d0-419f-b7d3-5630e829e146

Tarih 2015

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin Due to the inherent time-varying characteristics of physiological systems, most biomedical signals (BSs) are expected to have non-stationary character. Therefore, any appropriate analysis method for dealing with BSs should exhibit adjustable time-frequency (TF) resolution. The wavelet transform (WT) provides a TF representation of signals, which has good frequency resolution at low frequencies and good time resolution at high frequencies, resulting in an optimized TF resolution. Discrete wavelet transform (DWT), which is used in various medical signal processing applications such as denoising and feature extraction, is a fast and discretized algorithm for classical WT. However, the DWT has some very important drawbacks such as aliasing, lack of directionality, and shift-variance. To overcome these drawbacks, a new improved discrete transform named as Dual Tree Complex Wavelet Transform (DTCWT) can be used. Nowadays, with the improvements in embedded system technology, portable real-time medical devices are frequently used for rapid diagnosis in patients. In this study, in order to implement DTCWT algorithm in FPGAs, which can be used as real-time feature extraction or denoising operator for biomedical signals, a novel hardware architecture is proposed. In proposed architecture, DTCWT is implemented with only one adder and one multiplier. Additionally, considering the multi-channel outputs of biomedical data acquisition systems, this architecture is capable of running N channels in parallel.

DOI 10.1109/EMBC.2015.7319765