University of Bahrain
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Low Power implementation of FIR Filter for De-noising the EOG signal

Show simple item record Kumar, Gundugonti Kishore Narayanam, Balaji 2020-07-14T14:01:24Z 2020-07-14T14:01:24Z 2020-09-01
dc.identifier.issn 2210-142X
dc.description.abstract In this paper, we propose a modified FIR filter using canonical signed digit representation and compressor techniques for de-noising the Electrooculography signal (EOG). A dipole, formed between cornea and retina in an eye, resulting in voltage difference with occurrence of eye movement, which in turn generates an electrical signal. These electrical signals, called Electrooculography (EOG) signal and are useful in many medical and bioelectrical applications. To remove the noise in EOG signal an enhanced 16-bit FIR filter is used. The proposed FIR architecture uses canonical signed digit based multipliers and 3:2 or 4:2 compressors to achieve greater improvement in power and delay compared to conventional shift-add method of multiplication. Canonic signed digit (CSD) is used in order to reduce the design complexity of the multiplication by representing the filter coefficients in CSD format. Instead of using Carry Look Ahead adders, 4:2 compressors are used. The proposed approach will be implemented on FPGA development kit. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri *
dc.subject Electro-oculography, Canonic Signed Digit, Compressors, FPGA en_US
dc.title Low Power implementation of FIR Filter for De-noising the EOG signal en_US
dc.volume 9 en_US
dc.issue 5
dc.pagestart 965 en_US
dc.pageend 970 en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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