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D95942015 連紹宇

DSP final project proposal Wavelet-NLMS prediction algorithms for real-time variable-bit-rate video. D95942015 連紹宇. Motivation. A efficient VBR traffic predictor is very useful for transmission scheduling. Several on-line VBR traffic predictors have been proposed. Neural network. LMS-family

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D95942015 連紹宇

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  1. DSP final project proposalWavelet-NLMS prediction algorithms for real-time variable-bit-rate video D95942015 連紹宇 BL504 GICE NTU

  2. Motivation • A efficient VBR traffic predictor is very useful for transmission scheduling. • Several on-line VBR traffic predictors have been proposed. • Neural network. • LMS-family • Content-based • … • Different prediction algorithms have different properties. BL504 GICE NTU

  3. Wavelet-NLMS prediction algorithms • In this project, a combination of NLMS and Wavelet will be implemented. BL504 GICE NTU

  4. Goal • We will implement this algorithm and compare with other VBR prediction algorithm. • Real MPEG-4 traffic source will be used. • Movies • TV show • Sports • We will also discuss the performance of this algorithm. BL504 GICE NTU

  5. Reference • [1] Huabing Liu and Guoqiang Mao, “Prediction Algorithms for Real-Time Variable-Bit-Rate Video.” APCC, 2005. • [2] A. Adas, “Using adaptive linear prediction to support real-time vbr video under rcbr network service model” IEEE/ACM Transactions on Network, vol. 6, no. 5, pp. 635-644, 1998. • [3] W. Xu and A. Qureshi, “Adaptive linear prediction of mpeg video traffic,” in Signal Processing and Its Applications, 1999. ISSPA ’99. Proceeding of the fifth International Symposium on, vol. 1, 1999, pp. 67-70. BL504 GICE NTU

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