Title :
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
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;
Conference_Titel :
Signal Processing, Communication and Networking (ICSCN), 2015 3rd International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-6822-3
DOI :
10.1109/ICSCN.2015.7219907
