Hardware Implementation of Adaptive Algorithms for Noise Cancellation

Authors

  • Raj Kumar Thenua and S. K. Agrawal, Member, IACSIT Author

Keywords:

Adaptive noise cancellation (ANC), digital signal processor (DSP), mean squared error (MSE), normalized least mean square (NLMS), real time workshop (RTW).

Abstract

In this work an attempt has been made to de-noise 
a sinusoidal tone signal and an ECG signal, with the help of LMS based adaptive algorithms, implemented on 
TMS320C6713 DSP processor in real-time environment. A SIMULINK model is developed then linked to code composer studio through embedded target and Real Time workshop facility to generate corresponding C code. The generated C code is used for the DSP processor to perform adaptive noise cancellation. The designed system is tested at three level of noise 
and shows a considerable level of improvement in Signal to Noise Ratio (SNR).

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Published

07.03.2012

How to Cite

Hardware Implementation of Adaptive Algorithms for Noise Cancellation. (2012). International Journal of Information and Electronics Engineering, 2(2), 160-164. https://ijiee.org/index.php/ijiee/article/view/83