Real-time implementation of an adaptive noise canceller based on MicroBlaze soft processor

Author

Bahoura, Mohammed ; Ezzaidi, Hassan

Author_Institution

Dept. of Eng., Univ. du Quebec a Rimouski, Rimouski, QC, Canada

fYear

2015

fDate

3-6 May 2015

Firstpage

1180

Lastpage

1183

Abstract

In this paper, two architectures based on the MicroBlaze soft processor are implemented on FPGA for realtime adaptive noise cancellation. The first architecture uses the least mean square (LMS) algorithm with 16-bit fixed-point fractional format, while the second one is based on a scaled version of the normalized least mean square (NLMS) algorithm with 16-bit fixed-point integer format. Those architectures were applied to remove, in real-time, the 60 Hz interference from electrocardiogram (ECG) signal with various levels of the reference input.

Keywords

electrocardiography; field programmable gate arrays; fixed point arithmetic; interference suppression; least mean squares methods; medical signal processing; signal denoising; ECG signal; FPGA; MicroBlaze soft processor; NLMS algorithm; adaptive noise canceller; electrocardiogram signal; fixed-point fractional format; fixed-point integer format; normalized least mean square algorithm; real-time adaptive noise cancellation; Computer architecture; Electrocardiography; Field programmable gate arrays; Least squares approximations; Noise cancellation; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on

Conference_Location

Halifax, NS

ISSN

0840-7789

Print_ISBN

978-1-4799-5827-6

Type

conf

DOI

10.1109/CCECE.2015.7129443

Filename

7129443