摘要
盲源信号分离是一种功能强大的信号处理方法,在生物医学信号处理、阵列信号处理、语音识别、图像处理及移动通信等领域得到了广泛的应用。简要介绍了盲源分离的数学模型、可实现性、可解的假设条件及算法,综述了盲源分离的发展及研究现状,提出了其未来的发展方向。
Blind source separation is a powerful methodology for signal processing that has been developing in recent 20 years. It has been, widely used in biomedical signal processing, array signal processing, speech signal recognition, image processing and mobile communication and other fields. This paper introduces the mathematical model, the solvability conditions and the algorithm of blind source separation. Meanwhile the latest progress and the future further development on the blind source separation are pointed out.
关键词
盲源分离
独立分量分析
发展
blind source separation
independent component analysis
development
