In order to separate noise source of gasoline engine, ensemble empirical mode
decomposition (EEMD), robust independent component analysis (RobustICA) and …

In this paper, we address the problem of noise reduction and speech enhancement by
adaptive filtering algorithm. Recently, the well known forward blind source separation …

This paper addresses the problem of speech enhancement and acoustic noise reduction by
adaptive filtering algorithms in a moving car through blind source separation (BSS) …

Single-channel speech dereverberation and separation has been a challenging problem
and is of high significance in speech processing applications. Many researchers have tried …

Blind source separation (BSS) technique plays an important role in many areas of signal
processing. A BSS technique separates the mixed signals blindly without information about …

摘要为了提高时变非平稳信号的盲源分离效果, 提出了自适应最大信噪比盲源分离新方法.
该方法以信噪比函数作为代价函数, 并基于改进的多项式系数自回归模型 …

Blind separation of sound sources aims at reconstructing the individual sources which
contribute to the overall radiation of an acoustical field. The challenge is to reach this goal …

以独立成分分析(ICA) 为代表的主流盲分离技术对信号独立性要求较高, 难以分离具有高度相关
性的变压器铁芯与绕组振动信号. 为了分离变压器铁芯和绕组振动信号, 建立了变压器振动信号 …

This study addresses the problem of speech quality enhancement by adaptive and
nonadaptive filtering algorithms. The well‐known two‐microphone forward blind source …

针对现有基于独立成分分析(ICA) 的盲源分离算法在单通道语音增强中的不稳定性和信噪比低的
问题, 提出了新的基于最大信噪比的ICA 语音增强算法. 该算法首先用带噪语音直接乘以二维 …