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Editor-in-chief

 
Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, IJIEE will be recognized among the readers in the related field."
IJIEE 2012 Vol.2(2): 160-164 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2012.V2.73

Hardware Implementation of Adaptive Algorithms for Noise Cancellation

Raj Kumar Thenua and S. K. Agrawal

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).

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

Raj Kumar Thenua is with the Department of Electronics &Instrumentation Engineering, An and Engineering College, Agra, India (e-mail: kumarraj04in@gmail.com).
S. K Agarwal is with the Department of Electronics and Communication Engineering, Sobhasaria Engineering College, Sikar, Rajasthan, India (e-mail: skagarwal5@rediffmail.com).

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Cite: Raj Kumar Thenua and S. K. Agrawal, "Hardware Implementation of Adaptive Algorithms for Noise Cancellation," International Journal of Information and Electronics Engineering vol. 2, no. 2, pp. 160-164, 2012.

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