在時變的網路頻寬中，為了能動態地調整影像串流的品質，一個能感知網路的頻寬管理和位元率控制是必要的。此論文提出了一個針對多媒體FGS編碼影像串流完善設計的頻寬估測和動態緩衝區控制機制，並使之可以適應於有線、無線和3G的異質網路上。根據測量得到的封包來回時間、封包遺失率和延遲抖動等資訊，利用卡曼濾波器遞迴的估測可用頻寬，並考慮解碼器端緩衝區的空間大小決定適當的影像傳送速率。透過卡曼濾波器參數，例如轉移矩陣、錯誤共變數，初始化和最佳化，使之能收斂和適應於目前所在網路的特性。在我們的實驗中，以模擬不同的網路流量環境與pathChirp方法比較，同時也展示在實際網路環境中的相關網路資訊和實驗估測結果。

In order to adapt the quality of a video stream over a time-varying bandwidth channel, network-aware bandwidth management and rate control scheme are required. This thesis proposes a well-designed bandwidth estimation and active buffer control scheme for streaming FGS videos over heterogeneous wired/wireless/3G networks.
According to the measured information of packet round-trip-time, loss-rate and delay jitter, an improved Kalman filter is proposed to predict an available bandwidth recursively, and determine a proper transmission rate in consideration of buffer fullness of a decoder. The optimal parameters of the Kalman filter, e.g., a transition matrix and an error covariance, can be initialized, converged and adapted to characteristics of the current network. In our experiments, distinct network traffic models are simulated in comparison with pathChirp, and corresponding estimation results w.r.t. network information are also exhibited in the real network.

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