盲源分离：基础与最新进展（SBrT-2001会议综述）
Blind Source Separation: Fundamentals and Recent Advances (A Tutorial Overview Presented at SBrT-2001)
摘要：
盲源分离（BSS），即，以未知方式混合的未知信号的解耦在过去十年中一直是信号处理界非常感兴趣的主题，其覆盖了诸如数字通信、模式识别、生物医学工程和金融数据分析等不同领域中的广泛应用。本课程的目的是介绍BSS问题，通过一个众所周知的和建立以及一些最近的方法来解决它的博览会。在呈现各种结果时遵循统一的方式，以便更容易地显示它们的相似性/差异，并强调它们的相对优势/劣势。本课程只包括BSS现有知识的代表性样本。鼓励感兴趣的读者查阅参考书目列表，以了解关于这个令人兴奋且始终活跃的研究主题的更多细节。
英文摘要：
Blind source separation (BSS), i.e., the decoupling of unknown signals that have been mixed in an unknown way, has been a topic of great interest in the signal processing community for the last decade, covering a wide range of applications in such diverse fields as digital communications, pattern recognition, biomedical engineering, and financial data analysis, among others. This course aims at an introduction to the BSS problem via an exposition of well-known and established as well as some more recent approaches to its solution. A unified way is followed in presenting the various results so as to more easily bring out their similarities/differences and emphasize their relative advantages/disadvantages. Only a representative sample of the existing knowledge on BSS will be included in this course. The interested readers are encouraged to consult the list of bibliographical references for more details on this exciting and always active research topic.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
