摘要
在双频点频域卷积混合盲分离算法的基础上,提出一种单频点频域卷积混合盲分离算法.通过恰当地选取频域盲分离中短时傅里叶变换(STFT)的参数,可仅依靠一个频率片上的分离信号来完成双频点算法.相对于传统频域卷积混合盲分离方法,该方法不受各频率片顺序不确定性不统一及比例不确定性不统一的影响.仿真实验证明了该算法的有效性.
In this paper, a novel frequency domain separation algorithm using only one frequency bin for the convolutive mixtures of sources is proposed. The method is a variation of the double-frequency-bin based separation for convolutive mixtures in which the parameters of short time Fourier transform should be selected appropriately. Since only one frequency bin is used, the proposed method involves neither inconsistency of scale indeterminacy nor permutation indeterminacy between different frequency bins in traditional frequency domain separation of convolutive mixtures. Simulation experiments show validity of the proposed singlefrequency-bin based separation algorithm for convolutive mixtures.
出处
《上海大学学报(自然科学版)》
CAS
CSCD
北大核心
2007年第4期357-362,共6页
Journal of Shanghai University:Natural Science Edition
基金
国家自然科学基金资助项目(60472103)
上海市优秀学科带头人项目(05XP14027)
高等学校博士学科点专项科研基金资助项目(20060280003)