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
Zhu, C.: RAM-based design and implementation of network cameras. Chengdu University of Technology Master’s thesis (2010)
Zhang, S., Qi, X.: Video standard based on digital video recorders MPEG_4 Design and implementation. Modern Electronic Technology 20, 51–55 (2008)
Wang, S.: Adaptive echo cancellation algorithm. China University of Science and Technology School of Information Science and Technology, Hefei (2007)
Liu, J., Zhang, Y.-F., et al.: NLMS and the RLS algorithm and its application in the simulation compared FECG Extraction. Computer Simulation 23(04), 78–80 (2006)
To the race-hui. Conference call in the multi-channel echo cancellation system theory and application of. Kunming University of Science, Kunming (2008)
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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
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