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16.Cnf-142 Paper View Page |
| Title |
Real-Time TMS3206713 DSP-Based Adaptive Noise Cancellation for Speech Signal Processing |
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| Authors |
Dr. Abdul_bary Suleiman, University of Mosul, Mosul, Iraq
Dr. Mahmod Mahmod, University of Mosul, Mosul, Iraq
Mr. Omar W. Hamdon, University of Mosul, Mosul, Iraq
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| Abstract |
Implementation of Real-time adaptive noise cancellation for strongly corrupted speech signal using the TMS3206713 DSP starter kit (DSK) is achieved. LMS algorithm is used for adaptation. The program code for the system is made in a MATLAB Simulink
environment. From MATLAB the model is converted to DSP through Code Composer Studio,an integrated development environment for TI's digital signal
processors. The analog input channel of the DSK is adjusted so as to satisfy the requirement of having two inputs for the adaptive noise canceller. The LMS parameters are chosen to give higher performance and improvement in signal to noise ratio of 4dB is obtained. |
| Track |
ISKE: Intelligent Systems and Knowledge Engineering |
| Conference |
4th Mosharaka International Conference on Communications, Computers and Applications (MIC-CCA 2011) |
| Congress |
2011 Global Congress on Communications, Computers and Applications (GC-CCA 2011), 22-24 July 2011, Istanbul, Turkey |
| Pages |
32-36 |
| Topics |
Learning Algorithms and Training
Knowledge-Based Systems
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| ISSN |
2227-331X |
| DOI |
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| BibTeX |
@inproceedings{142CCA2011,
title={Real-Time TMS3206713 DSP-Based Adaptive Noise Cancellation for Speech Signal Processing},
author={Abdul_bary Suleiman, and Mahmod Mahmod, and Omar W. Hamdon},
booktitle={2011 Global Congress on Communications, Computers and Applications (GC-CCA 2011)},
year={2011},
pages={32-36},
doi={}},
organization={Mosharaka for Research and Studies}
}
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| Paper Views |
94 |
Paper Views Rank |
142/524 |
| Paper Downloads |
59 |
Paper Downloads Rank |
45/524 |
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