在本篇論文中，我們提出了一個適用於並行調適性濾波器的演算法MBER+CC，首先介紹CAF的特性與優點，之後分別求出Channel Capacity與MBER的權重更新，接下來利用CAF的特性結合這兩種演算法之權重，得出新的演算法MBER+CC之權重。最後在模擬的結果中，我們也會呈現出MBER+CC演算法確實擁有比傳統調適性濾波器還要更好的效能。與原本的MBER與Channel Capacity演算法相比，MBER+CC演算法確實擁有較好的效能，並且消除了這兩種調適性演算法的缺點。;In this paper, we propose a Concurrent Adaptive Filter algorithm MBER + CC. We first introduced the features and benefits of CAF. Then, separately, we find weight update of Channel Capacity and MBER algorithm. Then use the characteristics of CAF, to combine these two weight of algorithms, and get new weight of MBER + CC algorithms. In the simulation results, we show MBER + CC algorithms do have even better performance than the classical Adaptive Filter. Compared with the original algorithm MBER and Channel Capacity, MBER + CC algorithms do have better performance, and eliminates the disadvantages of these two adaptive filter algorithm.
