说明：  本文从高速数字信号处理器的特点、自适应滤波器的原理及主要应用领域入手，介绍了自适应滤波器的基本理论思想，具体阐述了自适应滤波器的基本原理、算法及设计方法。本文中，对两种最基本的自适应算法，即最小均方误差(LMS)算法和递归最小二乘（RLS)算法进行了详细的介绍和分析，并针对两种算法的优缺点进行了详细的比较。最后用DSP实现了自适应滤波器。实验结果表明，该自适应滤波器滤波效果优越。
(Starting from the characteristics of high-speed digital signal processor, the principle of adaptive filter and the main application fields, the basic theory of adaptive filter is introduced, and the basic principle, algorithm and design method of adaptive filter are described in detail. In this paper, two basic adaptive algorithms, namely the minimum mean square error (LMS) algorithm and recursive least squares (RLS) algorithm are introduced and analyzed in detail, and the advantages and disadvantages of the two algorithms are compared in detail. Finally, the adaptive filter is implemented by DSP. The experimental results show that the adaptive filter has better filtering effect.)