Can Random Noise Injection Eliminate Noise? - Simulation and Hardware Implementation

Suleyman Kondakci

2014

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 Harvard Style

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 1: ICINCO, ISBN 978-989-758-039-0, pages 604-611. DOI: 10.5220/0005011906040611


in Bibtex Style

@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 1: ICINCO,},
year={2014},
pages={604-611},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005011906040611},
isbn={978-989-758-039-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Can Random Noise Injection Eliminate Noise? - Simulation and Hardware Implementation
SN - 978-989-758-039-0
AU - Kondakci S.
PY - 2014
SP - 604
EP - 611
DO - 10.5220/0005011906040611