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41. 发明授权

US06424960B1 Unsupervised adaptation and classification of multiple classes and sources in blind signal separation 失效
标题翻译：盲信号分离中多个类和源的无监督适应和分类
公开(公告)号：US06424960B1
公开(公告)日：2002-07-23
申请号：US09418099
申请日：1999-10-14
申请人： Te-Won Lee , Michael S. Lewicki , Terrence J. Sejnowski
发明人： Te-Won Lee , Michael S. Lewicki , Terrence J. Sejnowski
IPC分类号： G06N302
CPC分类号： G06K9/624 , G06K9/6807 , G10L21/0272
摘要： A computer-implemented method and apparatus that adapts class parameters, classifies data and separates sources configured in one of multiple classes whose parameters (i.e. characteristics) are initially unknown. The data set may be generated in a dynamic environment where the sources provide signals that are mixed, and the mixing parameters change without notice and in an unknown manner. A mixture model is used in which the observed data is categorized into two or more mutually exclusive classes. The class parameters for each of the classes are adapted to a data set in an adaptation algorithm in which class parameters including mixing matrices and bias vectors are adapted. Each data vector is assigned to one of the learned mutually exclusive classes. In some embodiments the class parameters may have been previously learned, and the system is used to classify the data and if desired to separate the sources. The adaptation and classification algorithms can be utilized in a wide variety of applications such as speech processing, image processing, medical data processing, satellite data processing, antenna array reception, and information retrieval systems. The adaptation algorithm described is implemented with an extended infomax ICA algorithm, which provides a way to separate sources that have a non-Gaussian (e.g., platykurtic or leptokurtic) structure.
摘要翻译：一种计算机实现的方法和装置，其适应类参数，对数据进行分类并分离在其参数（即特征）最初未知的多个类之一中配置的源。数据集可以在动态环境中生成，其中源提供混合的信号，并且混合参数在未经通知和以未知的方式改变。使用混合模型，其中观察到的数据被分类为两个或更多个互斥类。每个类的类参数适应于适配算法中的数据集，其中包括混合矩阵和偏置向量的类参数被适配。每个数据向量被分配给学习的互斥类之一。在一些实施例中，类参数可以先前已经被学习，并且该系统被用于对数据进行分类，并且如果需要分离源。适应和分类算法可以用于诸如语音处理，图像处理，医疗数据处理，卫星数据处理，天线阵列接收和信息检索系统的各种应用中。所描述的适配算法用扩展的信息ICA算法来实现，该算法提供了一种分离具有非高斯（例如，平板游戏或leptokurtic）结构的源的方式。

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