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).
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.