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公开(公告)号：US06904390B2
公开(公告)日：2005-06-07
申请号：US10404850
申请日：2003-04-01
摘要： A method, computer program, and system for real-time signal analysis providing characterization of temporally-evolving densities and distributions of signal features of arbitrary-type signals in a moving time window by tracking output of order statistic filters (also known as percentile, quantile, or rank-order filters). Given a raw input signal of arbitrary type, origin, or scale, the present invention enables automated quantification and detection of changes in the distribution of any set of quantifiable features of that signal as they occur in time. Furthermore, the present invention's ability to rapidly and accurately detect changes in certain features of an input signal can also enable prediction in cases where the detected changes associated with an increased likelihood of future signal changes.
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2.发明申请Method, computer program, and system for automated real-time signal analysis for detection, quantification, and prediction of signal changes 有权方法，计算机程序和用于信号变化的检测，量化和预测的自动化实时信号分析系统公开(公告)号：US20070271066A1
公开(公告)日：2007-11-22
申请号：US11724738
申请日：2007-03-16
申请人： Alexei Nikitin , Mark Frei , Naresh Bhavaraju , Ivan Osorio , Ruslan Davidchack
发明人： Alexei Nikitin , Mark Frei , Naresh Bhavaraju , Ivan Osorio , Ruslan Davidchack
IPC分类号： G06F17/18
摘要： A method, computer program, and system for real-time signal analysis providing characterization of temporally-evolving densities and distributions of signal features of arbitrary-type signals in a moving time window by tracking output of order statistic filters (also known as percentile, quantile, or rank-order filters). Given a raw input signal of arbitrary type, origin, or scale, the present invention enables automated quantification and detection of changes in the distribution of any set of quantifiable features of that signal as they occur in time. Furthermore, the present invention's ability to rapidly and accurately detect changes in certain features of an input signal can also enable prediction in cases where the detected changes associated with an increased likelihood of future signal changes.
摘要翻译： 一种用于实时信号分析的方法，计算机程序和系统，通过跟踪顺序统计滤波器的输出（也称为百分位数，分位数）来提供移动时间窗口中的任意类型信号的时间演化密度和信号特征分布的表征 或等级阶滤波器）。 给定任意类型，原点或尺度的原始输入信号，本发明能够自动量化和检测该信号随时间发生的任何一组可量化特征的分布变化。 此外，本发明快速准确地检测输入信号的某些特征的变化的能力还可以在与未来信号的可能性增加相关联的检测到的变化的情况下进行预测。
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公开(公告)号：US20050165879A1
公开(公告)日：2005-07-28
申请号：US09921524
申请日：2001-08-03
申请人： Alexei Nikitin , Ruslan Davidchack
发明人： Alexei Nikitin , Ruslan Davidchack
CPC分类号： G06K9/00503 , G01D1/00 , G06T5/002 , G06T5/20 , G10L25/48 , H03H11/0405
摘要： Various components of the present invention are collectively designated as Analysis of Variables Through Analog Representation (AVATAR). It is a method, processes, and apparatus for measurement and analysis of variables of different type and origin. AVATAR offers an analog solution to those problems of the analysis of variables which are normally handled by digital means. The invention allows (a) the improved perception of the measurements through geometrical analogies, (b) effective solutions of the existing computational problems of the order statistic methods, and (c) extended applicability of these methods to analysis of variables. The invention employs transformation of discrete or continuous variables into normalized continuous scalar fields, that is, into objects with mathematical properties of density and/or cumulative distribution functions. In addition to dependence on the displacement coordinates (thresholds), these objects can also depend on other parameters, including spatial coordinates (e.g., if the incoming variables are themselves scalar or vector fields), and/or time (if the variables depend on time). Moreover, this transformation of the measured variables may be implemented with respect to any reference variable. Thus, the values of the reference variable provide a common unit, or standard, for measuring and comparison of variables of different natures, for assessment of mutual dependence of these variables, and for evaluation of changes in the variables and their dependence with time. The invention enables, on a consistent general basis, a variety of new techniques for analysis of variables, which can be implemented through various physical means in continuous action machines as well as through digital means or computer calculations. Several of the elements of these new techniques do have digital counterparts, such as some rank order techniques in digital signal and image processing. However, this invention significantly extends the scope and applicability of these techniques and enables their analog implementation. The invention also introduces a wide range of signal analysis tools which do not exist, and cannot be defined, in the digital domain. In addition, by the present invention, all existing techniques for statistical processing of data, and for studying probability fluxes, are made applicable to analysis of any variable.
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