To solve dynamic bandwidth allocation, this paper use adaptive stochastic approximation algorithm to compute true bandwidth requirement of the aggregated ON/OFF traffic.
本文运用自适应随机逼近算法研究了ON/OFF信源模型的带宽估计及接入问题。
Then by utilizing the features of this model an online optimization algorithm that combines policy gradient estimation and stochastic approximation is derived.
然后利用这种模式的特点，在线优化算法相结合的策略梯度估计及随机逼近而得。
A blind adaptive algorithm based on the stochastic approximation is discussed and then the performances of these detection rules are analyzed.
然后介绍一种基于随机估计方法的盲自适应算法。最后对这三种判决准则进行性能分析。
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