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    • 1. 发明申请
    • System and method of separating signals
    • 分离信号的系统和方法
    • US20050149462A1
    • 2005-07-07
    • US10949710
    • 2004-09-24
    • Te-Won LeeMichael LewickiTerrence Sejnowski
    • Te-Won LeeMichael LewickiTerrence Sejnowski
    • G06E1/00G06E3/00G06F15/00G06F15/18G06G7/00G06K9/62H03F1/26H04B15/00
    • G06K9/624
    • 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. 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. 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.
    • 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。 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。 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。