摘要
在NLMS算法的基础上,从语音信号相关性的角度出发,提出了一种去相关NLMS算法(DC-NLMS).该算法收敛速度快,稳态失调小,计算量与NLMS算法相当,克服了APA算法收敛速度快但计算量大的缺陷.计算机仿真结果表明,DC-NLMS算法在自适应回波抵消中的综合性能要优于NLMS算法、APA算法以及文献[7]中的算法.
Based on NLMS, this paper proposes a decorrelation NLMS algorithm (DC-NLMS) by employing autocorrelation of the input speech signal. The proposed algorithm has fast convergence speed, but small stability maladjustment with the same computational complexity as NLMS, therefore overcomes the drawback of APA. Simulation results indicate that the DC-NLMS algorithm is optimal in adaptive echo cancellation as compared with NLMS, APA, and a previously developed algorithm in the literature.
出处
《应用科学学报》
CAS
CSCD
北大核心
2006年第1期21-24,共4页
Journal of Applied Sciences