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Hardware Implementation of Adaptive Noise Cancellation over DSP Kit TMS320C6713
Muhammad Amir Shafiq, Saqib Ejaz, Nisar Ahmed
Pages - 75 - 86     |    Revised - 05-04-2013     |    Published - 30-04-2013
Volume - 7   Issue - 1    |    Publication Date - June 2013  Table of Contents
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KEYWORDS
Noise Cancellation, Adaptive filter, LMS, NLMS, RLS, DSP kit TMS320C6713.
ABSTRACT
In noisy acoustic environment, audio signal in speech communication from mobile phone, moving car, train, aero plane, or over a noisy telephone channel is corrupted by additive random noise. The noise is unwanted signal and it is desirable to remove noise from original signal. Since noise is random process and varying at every instant of time, we need to estimate noise at every instant to remove it from original signal. There are many schemes for noise removal but most effective scheme to accomplish noise cancellation is to use adaptive filters. In this paper, we have carried out simulations for different adaptive algorithms (LMS, NLMS and RLS) and compared their performance for noise cancellation in noisy environment. Real time implementation of adaptive algorithm over DSP kit (TMS320C6713) is also presented in this paper. Performance of adaptive algorithm over hardware is also presented. Developed system incorporating best performance adaptive filter in any noisy environment can be used for noise cancellation.
CITED BY (3)  
1 Jimenez, L., Fabian, R., Pardo, B., Camilo, E., Gutierrez, C., & Edgar, A. (2015, September). Analysis performance of adaptive filters for system identification implemented over TMS320C6713 DSP platform. In Signal Processing, Images and Computer Vision (STSIVA), 2015 20th Symposium on (pp. 1-8). IEEE.
2 Pandey, D., Bhatnagar, A., Kumar, A., Goel, P., & Chandra, M. Implementation of LMS and VSLMS algorithms for Speech Enhancement using TMS320C6713 DSP Processor.
3 López, F. R. J., Beainy, C. E. P., & Cáceres, E. A. G. (2014). Adaptive filtering implemented over TMS320c6713 DSP platform for system identification. ITECKNE: Innovación e Investigación en Ingeniería, 11(2), 157-171.
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Mr. Muhammad Amir Shafiq
Faculty of Electronics Engineering GIKI, Topi - Pakistan
amirshafiq@gmail.com
Mr. Saqib Ejaz
Faculty of Electronics Engineering GIKI, Topi - Pakistan
Mr. Nisar Ahmed
Faculty of Electronics Engineering GIKI, Topi - Pakistan