一种基于局部迭代的仿射投影算法

摘要

To deal with this obstacle that the large number of filter coefficients diminishes the usefulness of the adaptive filtering algorithm owing to increased complexity,some partial-update adaptive signal processing algorithms have been sum-marized.These algorithms focus on updating a selected subset of the filter coefficients at every iteration because the com-putational complexity is proportional to the number of filter coefficients.Simulation results verify the algorithm with partial up-dating can further reduce the computational complexity when compared with their conventional counterparts.%为降低仿射投影算法的计算复杂度，提出了一种基于Mmax局部迭代策略的算法。首先根据权系数局部迭代的简化原理，将滤波器系数分成多个系数子集，通过每次迭代仅更新权系数部分子集的方法，减少算法的计算量。仿真结果表明，由于每次迭代将对误差性能贡献最大的输入信号筛选出来作为输入，Mmax系数局部迭代仿射投影算法性能与全系数更新算法相当。