A Novel Method for Design and Implementation of Systolic Associative Cascaded Variable Leaky Least Mean Square Adaptive Filter for Denoising of ECG Signals

Author:

Manickam Chitra,Govindasamy MurugesanORCID,Muthusamy SureshORCID,Paramasivam Muneeshwari

Publisher

Springer Science and Business Media LLC

Reference37 articles.

1. Velayudhan, A., & Peter, S. (2016). Noise analysis and different denoising techniques of ECG signal survey. In International organization of scientific research journal of electronics and communication engineering, (vol. 12, p. 7).

2. Maurya, A. K. (2017). Cascade-cascade least mean square (LMS) adaptive noise cancellation. Circuits system and Signal Processing, 37(9), 3785–3826.

3. Devendra Goyal and Manish Singhal. (2016). Area-efficient FPGA model of LMS filtering algorithm. Journal of recent cognizance in Wireless Communication & Image Processing, 23, 943–952.

4. Tokunbo Ogunfunmi and Thomas Paul. (2008). Analysis of convergence of a frequency-domain LMS adaptive filter implemented as a multi-stage adaptive filter. Journal of Signal Processing Systems, 56, 341–350.

5. Mohd. Tasleem Khan and Rafi Ahamed Shaik. (2019). Optimal complexity architectures for pipelined distributed arithmetic-based lms adaptive filter’. IEEE Transactions on Circuits and Systems, 66, 630–642.

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