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 …

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 …

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

This paper aims to separate the sources vibration from the transformer tank vibration, which
is normally collected by sensors. Blind source separation consists in the recovering of …

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 …

The vibration signal on the surface of the transformer tank is formed by mixing the winding
and the iron core. Blind source separation of vibration signals can diagnose the operating …