In this chapter, we provide an overview of existing algorithms for blind source separation of
convolutive audio mixtures. We provide a taxonomy in which many of the existing algorithms …

We propose a new blind spatial subtraction array (BSSA) consisting of a noise estimator
based on independent component analysis (ICA) for efficient speech enhancement. In this …

Implementation Issues in Blind Source Separation In Chap. 5, we have derived BSS
algorithms using Sylvester matrices. The Sylvester-based notation allows the separation …

A signal processing apparatus includes: a learning processing unit that finds a separating
matrix for separating mixed signals in which outputs from a plurality of sound sources are …

In this paper, we propose a musical-noise-controllable algorithm for array signal processing
with the aim for high-performance and high-quality noise reduction. Recently, many methods …

There have been several reports on improved blind source separation algorithms that
combine beamforming and independent component analysis. However, none of the prior …

针对弱信号且源数未知情况下的波达方向估计问题, 传统方法是先估计源数目再进行波达方向
估计, 但源数目估计的误差会造成波达方向估计精度下降. 本文提出一种阵列方向矩阵的Moore …

Abstract In recent years, Non-Destructive Evaluation (NDE) has trended toward increased
automation in data acquisition. Automated scanning has the potential to greatly increase …

A hands-free speech recognition system [1] is essential for the realization of an intuitive,
unconstrained, and stress-free human-machine interface, where users can talk naturally …

In this paper, we propose a multistage source separation method constructed by combining
blind source separation (BSS) based on independent component analysis (ICA) and …