A probabilistic algorithm of system - level fault diagnosis based on greedy principle 基于貪婪算法的系統級故障的概率診斷
We can also see that these algorithms have better performance than the majority algorittim and compete algorithm , which are classic probabilistic algorithm in system level fault diagnosis . a distributed hierarchical diagnosis algorithm is discussed for virtual private networks 對于診斷正確率,貪婪算法遠遠好于majority算法,并好于compete算法;對于時間復雜度,與majority算法相當,均為o ( n ~ 2 ) ,要好于compete算法。
At one time the thesis look back the part parallel interference cancellation detection , and update the algorithm of the multiuser with lms algorithm . at last , the thesis presentes the blind multiuser detection with adaptive algorithm the blind multiuser detection base on kalman algorithm and probabilistic algorithms for blind adaptive multiuser detection 同時對部分并行干擾多用戶檢測器進行了回顧,并用lms算法實現了多用戶檢測器的算法更新。最后對盲多用戶檢測的自適應算法進行了介紹,構造基于kalman濾波的盲多用戶檢測器,并對隨機梯度算法進行了誤碼性能的分析。