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Variable Step Length Best Combination AEC Algorithm in IPC

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Advances in Brain Inspired Cognitive Systems (BICS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7366))

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Abstract

Based on the echo interference in audio transmission of Network Camera (IPC), this paper presents Variable Step Length Best Combination acoustic echo cancellation (AEC) algorithm .It adjusts the convergence speed of variance by changing the step of the adaptive filter , in accordance with the best ratio combination of NLMS algorithm and RLS algorithm, to achieve faster convergence speed and good steady state characteristics of a short delay. Simulation and measurement under the network environment show that, the residual echo signal is more than 30dB lower than the far-end signal, delays 25ms below the steady-state characteristics.

National Natural Science Foundation (51104003); Natural Science Foundation of Anhui Province (KJ2010B200).

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References

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© 2012 Springer-Verlag Berlin Heidelberg

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Wu, L., Xing, Lk., Zhou, Mr., Chen, S. (2012). Variable Step Length Best Combination AEC Algorithm in IPC. In: Zhang, H., Hussain, A., Liu, D., Wang, Z. (eds) Advances in Brain Inspired Cognitive Systems. BICS 2012. Lecture Notes in Computer Science(), vol 7366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31561-9_33

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  • DOI: https://doi.org/10.1007/978-3-642-31561-9_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31560-2

  • Online ISBN: 978-3-642-31561-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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