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Author: Suleyman Kondakci

Affiliation: Izmir University of Economics, Turkey

Keyword(s): Signal Reconstruction, Evoked Potentials, Semi–digital Signal Processing, Simulation, Implementation.

Related Ontology Subjects/Areas/Topics: Engineering Applications ; Informatics in Control, Automation and Robotics ; Instrumentation Networks and Software ; Intelligent Control Systems and Optimization ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control ; Signal Reconstruction

Abstract: Noise, found in all types of instrumentation and signal processing systems, has been a great challenge to tackle, especially, in biomedical signal processing tasks. Often, low-frequency and low power measurement signals are used in biomedical signal applications. This work is aimed at modeling and developing a simple, efficient, and inexpensive front end signal conditioner applying the cowpox approach to low-power analog signal measurements. We focus here on the simulation and implementation of a signal conditioner for the evaluation of its feasibility and efficiency based on the cost and accuracy constraints. As briefly outlined below, this article can serve as a model for facilitating the construction of semi–digital filters that can be applied to denoising of signals with low-frequency and very weak amplitude levels.

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Paper citation in several formats:
Kondakci, S. (2014). Can Random Noise Injection Eliminate Noise? - Simulation and Hardware Implementation. In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-039-0; ISSN 2184-2809, SciTePress, pages 604-611. DOI: 10.5220/0005011906040611

@conference{icinco14,
author={Suleyman Kondakci.},
title={Can Random Noise Injection Eliminate Noise? - Simulation and Hardware Implementation},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2014},
pages={604-611},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005011906040611},
isbn={978-989-758-039-0},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Can Random Noise Injection Eliminate Noise? - Simulation and Hardware Implementation
SN - 978-989-758-039-0
IS - 2184-2809
AU - Kondakci, S.
PY - 2014
SP - 604
EP - 611
DO - 10.5220/0005011906040611
PB - SciTePress