发明名称 Method and apparatus for profiling and identifying the source of a signal
摘要 A method and apparatus for profiling and identifying the source of a signal is provided. A first method includes receiving a signal produced by a known source and creating a matrix of wavelet coefficients corresponding to a wavelet transform of the signal. The method also includes profiling the signal according to an output of a wavelet transform utilizing a particular base function and a particular scale set. A second method includes performing a wavelet transform having a particular profile on a received signal and determining the presence of a particular signal-producing entity as a function of wavelet coefficients exceeding a threshold. An apparatus includes a receiver configured to receive a signal and a processor coupled to the receiver, such that the processor is configured to perform wavelet transforms on the signals. A database is coupled to the processor and configured to store wavelet transform profiles.
申请公布号 US9098458(B1) 申请公布日期 2015.08.04
申请号 US201213625431 申请日期 2012.09.24
申请人 发明人 Fischer Mark
分类号 G06F17/14;G06K9/00;G10L17/26;A61B5/00;H04N19/63 主分类号 G06F17/14
代理机构 DLA Piper LLP (US) 代理人 DLA Piper LLP (US)
主权项 1. A method for profiling a signal-producing entity, comprising: receiving a signal produced by a known source; creating a matrix comprising a plurality of wavelet coefficients, wherein each of the wavelet coefficients correspond to an output produced by a continuous wavelet transform of the signal for each of a plurality of base functions and for each of a plurality of scales; selecting a particular base function from the plurality of base functions, wherein the particular base function corresponds to a maximum wavelet coefficient; generating a graph plotting a parameterization of each wavelet coefficient output by a wavelet transform of the signal for the particular base function and a corresponding scale; selecting a particular set of scales from the plurality of scales, wherein the particular set of scales correspond to a set of peaks in the graph; and profiling the signal as a set of wavelet coefficients corresponding to an output of a wavelet transform utilizing the particular base function and the particular set of scales.
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