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Using RLS adaptive algorithm for packet loss replacement in VOIP

Miralavi, S.R ; Sharif University of Technology | 2011

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  1. Type of Document: Article
  2. Publisher: 2011
  3. Abstract:
  4. In this paper, a low order recursive linear prediction method and recursive least square as an adaptive filter (LP-RLS) are introduced to predict the speech and the excitation signals. In real-time packet-based communication systems, one major problem is misrouted or delayed packets which results in degraded perceived voice quality. If packets are not available on time, the packet is known as lost packet. The easiest task of a network terminal receiver is to replace silence for the duration of lost speech segments. In a high quality communication system, to avoid quality reduction due to packet loss, a suitable method and/or algorithm is needed to replace the missing segments of speech. The evaluation results show that the proposed method has a lower mean square error (MSE) and higher signal to noise ratio (SNR) compared to the other methods. This particular method also outperforms the low order recursive linear prediction method and normalized least mean square (LP-NLMS)
  5. Keywords:
  6. Linear prediction ; RLS adaptive filter ; Evaluation results ; Excitation signals ; High quality ; Linear prediction ; Linear prediction method ; Low order ; MSE ; Network terminals ; Normalized least mean square ; Packet-based communication ; Quality reduction ; Recursive least square (RLS) ; Speech segments ; Voice quality ; VoIP ; Adaptive algorithms ; Adaptive filters ; Communication systems ; Computer vision ; Forecasting ; Internet telephony ; Mean square error ; Packet loss ; Least squares approximations
  7. Source: Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011, 18 July 2011 through 21 July 2011 ; Volume 2 , July , 2011 , Pages 753-756 ; 9781601321916 (ISBN)
  8. URL: http://weblidi.info.unlp.edu.ar/worldcomp2011-mirror/IPC3090.pdf