Design of Systolic architecture for various adaptive filters for noise cancellation

Author

Jayapravintha, M. ; Gomathi, S. ; Murugesan, G.

Author_Institution

Dept. of ECE, Kongu Eng. Coll., Perundurai, India

fYear

2015

fDate

26-28 March 2015

Firstpage

1

Lastpage

6

Abstract

An adaptive filter plays an important role in noise cancellation application. In this paper, a Systolic architecture is proposed in Recursive Least Square (RLS) adaptive filter structure and Affine Projection (AP) adaptive filter structure for denoising Electrocardiogram (ECG) and speech signal effectively. The proposed architecture is designed to improve the speed of the process. The above filter structures are simulated in Xilinx System generator and also in MATLAB Simulink environment and performance of the RLS adaptive algorithm and AP adaptive algorithm is measured by Signal to Noise (SNR) ratio.

Keywords

adaptive filters; electrocardiography; interference suppression; least squares approximations; medical signal processing; recursive filters; speech processing; systolic arrays; AP adaptive algorithm; AP adaptive filter structure; ECG; MATLAB Simulink; RLS adaptive algorithm; RLS adaptive filter structure; SNR; Xilinx system generator; affine projection; electrocardiogram; noise cancellation; recursive least square; signal to noise ratio; speech signal; systolic architecture; Adaptive filters; Electrocardiography; Filtering algorithms; Finite impulse response filters; Noise cancellation; Signal processing algorithms; Speech; AP; Adaptive filter; ECG; PLI; RLS; SNR; Systolic; denoising;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, Communication and Networking (ICSCN), 2015 3rd International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4673-6822-3

Type

conf

DOI

10.1109/ICSCN.2015.7219907

Filename

7219907