V.Elamaran

About

V. Elamaran received the B.E. degree in Electronics and Communication Engineering from Madurai Kamaraj University, the M.E. degree in Systems Engineering and Operations Research from Anna University, and the Ph.D. degree in the area of VLSI Signal Processing from SASTRA Deemed University, Thanjavur, India. His main research interests are signal, image and video processing, digital VLSI design circuits, design for testability, and FPGA based systems. He has published more than 100 research papers in reputed international journals and conferences. He is currently working as an Assistant Professor in the Department of ECE, School of EEE, SASTRA Deemed University, Thanjavur. He is a Life Member of the Indian Society for Technical Education (ISTE) and the Indian Society of Systems for Science and Engineering (ISSE).

Employment

• SASTRA Deemed University Assistant Professor
  2010 - Present

Education

• Anna University M.E.
  2004 - 2007
• Madurai Kamaraj University B.E.
  1994 - 1998

Projects & Funding

Projects & funding information is unavailable.

Publications (91)

• Retraction Note: Revisiting computer networking protocols by wireless sniffing on brain signal/image portals
  Neural Computing and Applications 2024 DOI: 10.1007/s00521-024-10092-7
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• Reconfigurable Architectures with High-Frequency Noise Suppression for Wearable ECG Devices
  Journal of Healthcare Engineering 2021 DOI: 10.1155/2021/1552641
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• Revisiting the Utility of Transmission Gate and Passtransistor Logic Styles in CMOS VLSI Design
  2021 3rd International Conference on Signal Processing and Communication (ICPSC) 2021 DOI: 10.1109/icspc51351.2021.9451645
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• NMR configurations with novel majority voter circuits to mask multiple module faults
  Journal of Ambient Intelligence and Humanized Computing 2021 DOI: 10.1007/s12652-021-03074-3
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• A Pedagogical Approach on Computer Networking in Practice Using a Smartphone
  Sixth International Conference on Intelligent Computing and Applications 2021 DOI: 10.1007/978-981-16-1335-7_10
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• A Pedagogical Approach on Digital Signal Processing for ECG Signals
  Advances in Automation, Signal Processing, Instrumentation, and Control 2021 DOI: 10.1007/978-981-15-8221-9_268
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• Baseline Wandering Noise Removal Using High-Speed IIR Filters with an FPGA Implementation
  Communications in Computer and Information Science 2021 DOI: 10.1007/978-981-16-5048-2_5
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• Comparative Study of Skin Lesion Segmentation and Feature Extraction in Different Color Spaces
  Lecture Notes in Electrical Engineering 2021 DOI: 10.1007/978-981-33-4866-0_38
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• Generation of Random Binary Sequence Using Adaptive Row–Column Approach and Synthetic Color Image
  2021 DOI: 10.1007/978-981-16-0965-7_10
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• High-Frequency Noise Removal on Corrupted ECG Signal Using Exponential Averagers
  Communications in Computer and Information Science 2021 DOI: 10.1007/978-981-16-5048-2_4
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