Work place: Department of Electronics and Communication Engineering, Khulna University of Engineering & Technology, KUET, Khulna, Bangladesh
E-mail: atikmahabub1209042@gmail.com
Website:
Research Interests: Engineering, Data Structures and Algorithms, Computer Architecture and Organization, Computer systems and computational processes, Computational Engineering, Computational Science and Engineering
Biography
Atik Mahabub is an independent researcher. He had completed his B.Sc. (Engineering) degree from Khulna University of Engineering and Technology (KUET) in Electronics and Communication Engineering (E.C.E.) department from 2017. His research interests in VLSI, FPGA, signalling, biomedical, antenna and microwave engineering. He has published 2 International Journal and 1 international conference paper.
By Atik Mahabub
DOI: https://doi.org/10.5815/ijigsp.2018.06.03, Pub. Date: 8 Jun. 2018
Filter is vastly used to detect different human signal in real time. In this paper, a novel complete digital filter is proposed for the fast detection of EEG signals due to avoid the mixtures of different biomedical signals. This paper intends to design a digital complete filter based on Field Programmable Gate Array (FPGA) for the alleviation of unwanted frequency components in biomedical signals specially EEG signals. For this purpose, complete filter which is a combination of integrator filter and differentiator filter which supports both low and high noises and comparatively inexpensive than other signal processing methodologies can be used. For hardware implementation, FPGA board is used which is a combination of different logic gates which offers inexpensive and long lasting services.
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