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

### Suleyman Kondakci

#### 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