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    • 1. 发明申请
    • ADAPTIVE SIGNAL DETECTION AND SYNTHESIS ON TRACE DATA
    • 轨迹数据的自适应信号检测与综合
    • WO2017218628A1
    • 2017-12-21
    • PCT/US2017/037393
    • 2017-06-14
    • LI-COR, INC.
    • HUMPHREY, Patrick G.
    • B42D15/10G01S1/02G01S5/06G06F17/30G06F19/00G06K17/00
    • Systems and methods for detecting, decoupling and quantifying unresolved signals in trace signal data in the presence of noise with no prior knowledge of the signal characteristics (e.g., signal peak location, intensity and width) of the unresolved signals. The systems and methods are useful for analyzing any trace data signals having one or multiple overlapping constituent signals and particularly useful for analyzing data signals which often contain an unknown number of constituent signals with varying signal characteristics, such as peak location, peak intensity and peak width, and varying resolutions. A general signal model function is assumed for each unknown, constituent signal in the trace signal data. In a first phase, the number of constituent signals and signal characteristics are determined automatically in a parallel fashion by executing multiple simultaneous evaluations iteratively starting with an initial set of trial signals. Making simultaneous evaluations and systematically reducing the number of trial signals allows for convergence to an optimal, final set of signals in a very fast and efficient manner.
    • 用于在存在噪声的情况下检测,解耦和量化跟踪信号数据中未解决的信号而不预先知晓未解析的信号特征(例如,信号峰值位置,强度和宽度)的系统和方法 信号。 该系统和方法可用于分析具有一个或多个重叠成分信号的任何跟踪数据信号,并且对分析数据信号特别有用,该数据信号经常包含具有不同信号特征(例如峰值位置,峰值强度和峰值宽度)的未知数量的成分信号 ,以及不同的决议。 对于跟踪信号数据中的每个未知的组成信号,假设一般的信号模型函数。 在第一阶段中,通过以初始一组试验信号开始迭代地执行多个同时评估,以并行方式自动确定组成信号和信号特征的数量。 通过同时进行评估并系统地减少试用信号的数量,可以以非常快速有效的方式收敛到最佳的最终信号集。