基于独立分量分析的瞬时混合语音信号盲分离算法研究

近些年，信号处理在理论与方法方面发展速度很快。独立分量分析技术（Independent Component Analysis，简称ICA）是信号处理领域近十几年才发展起来的一种新的理论和方法，并且逐步的成熟化与系统化，变成了信号处理领域内重要的组成部分。本文主要讨论线性瞬时混合情况下语音信号盲分离算法，阐述了算法原理，进行了实验仿真，以此来证明算法的有效性。

Research of Instantaneous Mixtures Speech Signal BlindSeparation Algorithm Based on ICA

Independent component analysis （ICA） technology is a new theory and method developed during last decade in the field of signal processing and grows more and more mature and sysematic, it is an important part in the field.The paper mainly discusses the speech signal blind separation algorithm under the case of linear instantaneous mixed, it introduces the principle and makes the experimental simulation to prove the effectivengss of algorithm.