摘要
该文分析时域卷积接收信号的时延相关矩阵具有的可联合块对角化的三因子乘积结构,通过对其所构成的3维矩阵进行切片分割和重新排列规划,提出基于交替最小二乘的三因子迭代计算方法,实现非正交联合块对角化,直接在时域解决卷积盲分离问题。实验仿真表明,与传统的联合块对角化算法相比,所提算法的收敛性能更好且更稳定,并且不受限于初始参数的选择;分离信号的相异度指标和巴克谱失真测度分别改善达到4.35dB和0.22。
Temporal correlation matrices of the convolutive-mixture signals possess the struture of tri-factor multiplication and so can be jointly diagonalized blockwise.Though cutting to pieces and then reprogramming of the 3-D matrix composed of a group of correlation matrices,an alternating and iterative approach is proposed to achieve the least-squares solutions and then to estimate the channel mixture matirx for realizing convolutive blind separation in time domain.Compared with traditional joint block-diagonalization algorithms,simulation results show that the proposed one has better and more stable separation performance irrespective of initial parameters.The dissimilarity index and Bark sepectral distortion are improved by 4.35 dB and 0.22 respectively.
出处
《电子与信息学报》
EI
CSCD
北大核心
2010年第10期2506-2510,共5页
Journal of Electronics & Information Technology
基金
国家自然科学基金(60672128
60702057)资助课题
关键词
信号处理
卷积盲分离
交替最小二乘
联合块对角化
Signal processing
Convolutive blind source separation
Alternative least squares
Joint blockdiagonalization
