Handbook of Blind Source Separation: Independent Component Analysis and Applications
Handbook of Blind Source Separation: Independent Component Analysis and Applications
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发表时间：
2010-03
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通讯作者：
P. Comon;C. Jutten
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作者：
P. Comon;C. Jutten
本书由该领域的先驱者编辑，并有34位国际知名专家撰稿，是盲源分离方面的权威参考书籍，对所有核心原理和方法、数值算法以及在电信、生物医学工程以及音频、声学和语音处理领域的主要应用进行了广泛而全面的阐述。本书超越了机器学习的视角，反映了信号处理和数值分析方面的最新成果，涵盖了优化准则、数学工具、数值算法设计、卷积混合以及时频方法等主题。这本手册是大学研究人员的理想参考资料，包括欠定混合的代数识别、时频方法、贝叶斯方法、非负性方法下的盲识别、通信的半盲方法，展示了这些方法在电信、生物医学工程、语音、声学、音频和音乐处理等关键应用领域的应用，同时也给出了开发应用的一般方法。
Edited by the people who were forerunners in creating the field, together with contributions from 34 leading international experts, this handbook provides the definitive reference on Blind Source Separation, giving a broad and comprehensive description of all the core principles and methods, numerical algorithms and major applications in the fields of telecommunications, biomedical engineering and audio, acoustic and speech processing. Going beyond a machine learning perspective, the book reflects recent results in signal processing and numerical analysis, and includes topics such as optimization criteria, mathematical tools, the design of numerical algorithms, convolutive mixtures, and time frequency approaches. This Handbook is an ideal reference for university researchers, RD algebraic identification of under-determined mixtures, time-frequency methods, Bayesian approaches, blind identification under non negativity approaches, semi-blind methods for communicationsShows the applications of the methods to key application areas such as telecommunications, biomedical engineering, speech, acoustic, audio and music processing, while also giving a general method for developing applications