仿真结果表明基于协作的分布式估计算法的估计精度比Kalman估计算法更高，估计误差小于0。

Simulations indicate that distributed estimation based cooperation has higher estimation accuracy than the Kalman estimation algorithm with an estimation accuracy of less than 0.05.

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在这类特殊的多传感器系统中，本文通过矩阵运算消除相关估计方差，得到了最优分布式融合估计算法。

For this special multisensor system, distributed optimal fusion algorithm is received by avoiding computing correlated estimation covariance based on the matrix operation.

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比较了目前分布式视频系统的各种码率估计算法性能，并提出了改进的码率估计算法。

With a comparison on a few of rate estimation algorithms, an improved methods resided in the decoder is proposed in this paper.

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