Title | Multiplier Free Implementation of 8-tap Daubechies Wavelet Filters for Biomedical Applications |
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Authors | Eminaga, Y., Coskun, A. and Kale, I. |
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Type | Conference paper |
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Abstract | Due to an increasing demand for on-sensor biosignal processing in wireless ambulatory applications, it is crucial to reduce the power consumption and hardware cost of the signal processing units. Discrete Wavelet Transform (DWT) is very popular tool in artifact removal, detection and compression for time-frequency analysis of biosignals and can be implemented as two-branch filter bank. This work proposes a new, completely multiplier free filter architecture for implementing Daubechies wavelets which targets Field-Programmable-Gate-Array (FPGA) technologies by replacing multipliers with Reconfigurable Multiplier Blocks (ReMBs). The results have shown that the proposed technique reduces the hardware complexity by 40% in terms of Look-Up Table (LUT) count and can be used in low-cost embedded platforms for ambulatory physiological signal monitoring and analysis. |
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Keywords | Biomedical applications, Discrete Wavelet Transform (DWT), Reconfigurable Multiplier Blocks (ReMB), multiplierless implementation, Daubechies wavelets. |
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Year | 2017 |
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Conference | IEEE New Generation of Circuits and Systems Conference |
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Publisher | IEEE |
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Accepted author manuscript | |
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Publisher's version | |
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Publication dates |
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Published | 28 Sep 2017 |
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Journal citation | pp. 129-132 |
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Book title | 2017 First New Generation of CAS NGCAS 2017, Proceedings |
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ISBN | 9781509064472 |
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Digital Object Identifier (DOI) | https://doi.org/10.1109/NGCAS.2017.63 |
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Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8049744 |
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Web address (URL) | https://ieeexplore.ieee.org/abstract/document/8052286/ |
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