BSSLAB:基于SCILAB的盲源分离仿真软件包

盲源分离问题由于其在无线通讯、语音增强系统和医学信号处理等领域内应用广阔且具有极大的理论研究价值,近来受到人们的广泛关注。简要介绍了盲源分离的基本原理及其算法框架,然后基于科学计算软件SCILAB,开发了盲源分离软件包BSSLAB。讨论了仿真软件包的结构和功能。该软件包方便、实用,为盲源分离算法的仿真研究提供了良好的软件环境。

BSSLAB: SCILAB-based Toolbox for Blind Source Separation

Blind Source Separation (BSS) has recently received extensive attentions because of its potential exciting applications in science and technology, especially in wireless communications, speech enhancement systems and medical signal processing, and also its great value in theoretical research. The fundamentals and algorithm framework of BSS were briefly reviewed first, and BSSLAB (Blind Source Separation Laboratory) package, a toolbox for simulating BSS algorithms based on SCILAB, was developed. The structure and function of the package were discussed. The simulation package is easy to use and provides a good environment for the research on BSS problem.