Steady state performance analysis and parameter choice guideline are also provided to facilitate its application. Simulation results confirm the analysis and show that the proposed algorithm performs better under both low noise and high noise conditions.
同时给出该算法的稳态分析并提供参数选择的依据,通过仿真验证该算法在不同噪声环境下收敛性能的优越性及稳态分析的正确性。
参考来源 - LMS自适应滤波算法的收敛性能研究与应用·2,447,543篇论文数据，部分数据来源于NoteExpress
应用推荐