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1. 发明申请

WO2011094611A2 LEARNING AND AUDITORY SCENE ANALYSIS IN GRADIENT FREQUENCY NONLINEAR OSCILLATOR NETWORKS 审中-公开
标题翻译：梯度频率非线性振荡器网络中的学习和审查情景分析
公开(公告)号：WO2011094611A2
公开(公告)日：2011-08-04
申请号：PCT/US2011/023020
申请日：2011-01-28
申请人： CIRCULAR LOGIC, LLC , FLORIDA ATLANTIC UNIVERSITY RESEARCH CORPORATION , LARGE, Edward, W.
发明人： LARGE, Edward, W.
IPC分类号： G10L11/00
CPC分类号： G10L25/30 , G06N3/049
摘要： A method for learning connections between nonlinear oscillators in a neural network comprising the steps of providing a plurality of nonlinear oscillators, with each respective oscillator producing an oscillation distinct from the others in response to an input and detecting an input at an at least first oscillator of the plurality of nonlinear oscillators. Detecting an input at an at least a second oscillator of the plurality of nonlinear oscillators, comparing the oscillation of the at least first oscillator to the oscillation of the at least second oscillator at a point in time, and determining whether there is coherency between the oscillation of the at least first oscillator and the oscillation of the at least second oscillator. Changing at least one of the amplitude and phase of a connection between the at least first oscillator and the at least second least oscillator as a function coherency between the at least first oscillator and the oscillation of the at least second oscillator.
摘要翻译：一种用于学习神经网络中的非线性振荡器之间的连接的方法，包括提供多个非线性振荡器的步骤，每个相应振荡器响应于输入而产生与其他振荡器不同的振荡，并且检测至少第一振荡器的输入多个非线性振荡器。在多个非线性振荡器的至少第二振荡器处检测输入，将至少第一振荡器的振荡与至少第二振荡器的振荡进行比较，并确定振荡之间是否存在一致性的所述至少第一振荡器和所述至少第二振荡器的振荡。将所述至少第一振荡器和所述至少第二最小振荡器之间的连接的振幅和相位中的至少一个改变为所述至少第一振荡器和所述至少第二振荡器的振荡之间的函数相关性。

2. 发明申请

WO2011152888A3 RHYTHM PROCESSING AND FREQUENCY TRACKING IN GRADIENT FREQUENCY NONLINEAR OSCILLATOR NETWORKS 审中-公开
标题翻译：梯级频率非线性振荡器网络中的RHYTHM处理和频率跟踪
公开(公告)号：WO2011152888A3
公开(公告)日：2012-01-26
申请号：PCT/US2011022993
申请日：2011-01-28
申请人： CIRCULAR LOGIC LLC , UNIV FLORIDA ATLANTIC , LARGE EDWARD W
发明人： LARGE EDWARD W
IPC分类号： G10L15/00
CPC分类号： G10L25/30 , G06N3/049
摘要： A method for mimicking the auditory system's response to rhythm of an input signal having a time varying structure comprising the steps of receiving a time varying input signal x(t) to a network of n nonlinear oscillators, each oscillator having a different natural frequency of oscillation and obeying a dynamical equation of the form(the mathematic formula should be inserted here) wherein ? represents the response frequency, r is the amplitude of the oscillator and F is the phase of the oscillator. Generating at least one frequency output from said network useful for describing said varying structure.
摘要翻译：一种用于模拟听觉系统对具有时变结构的输入信号的节律的响应的方法，包括以下步骤：向n个非线性振荡器的网络接收时变输入信号x（t），每个振荡器具有不同的固有振荡频率并遵守形式的动力学方程（这里应该插入数学公式），其中？表示响应频率，r是振荡器的振幅，F是振荡器的相位。从所述网络生成用于描述所述变化结构的至少一个频率输出。

3. 发明申请

WO2011152889A2 METHOD AND APPARATUS FOR CANONICAL NONLINEAR ANALYSIS OF AUDIO SIGNALS 审中-公开
标题翻译：用于音频信号的经典非线性分析的方法和装置
公开(公告)号：WO2011152889A2
公开(公告)日：2011-12-08
申请号：PCT/US2011/023015
申请日：2011-01-28
申请人： CIRCULAR LOGIC, LLC , FLORIDA ATLANTIC UNIVERSITY RESEARCH CORPORATION , LARGE, Edward, W. , AMONTE, Felix
发明人： LARGE, Edward, W. , AMONTE, Felix
CPC分类号： G10L19/00 , G06N3/049 , G10L25/30
摘要： The present invention is directed to systems and methods designed to ascertain the structure of acoustic signals. The approach involves an alternative transform of an acoustic input signal, utilizing a network of nonlinear oscillators in which each oscillator is tuned to a distinct frequency. Each oscillator receives input and interacts with the other oscillators in the network, yielding nonlinear resonances that are used to identify structure in an acoustic input signal. The output of the nonlinear frequency transform can be used as input to a system that will provide further analysis of the signal. According to one embodiment, the nonlinear responses are defined as a network of n expanded canonical oscillators Z i with an input, for each oscillator as a function of an external stimulus. In this way, the response of oscillators to inputs that are not close to its natural frequency are accounted for.
摘要翻译：本发明涉及设计用于确定声信号结构的系统和方法。该方法涉及声输入信号的替代变换，利用非线性振荡器网络，其中每个振荡器被调谐到不同的频率。每个振荡器接收输入并与网络中的其他振荡器交互，产生用于识别声输入信号中的结构的非线性谐振。非线性频率变换的输出可以用作将进一步分析信号的系统的输入。根据一个实施例，对于作为外部刺激的函数的每个振荡器，非线性响应被定义为具有输入的n个扩展规范振荡器Z i的网络。这样就可以解释振荡器对输入的响应不太接近固有频率。

4. 发明申请

WO2011152889A3 METHOD AND APPARATUS FOR CANONICAL NONLINEAR ANALYSIS OF AUDIO SIGNALS 审中-公开
标题翻译：用于音频信号的经典非线性分析的方法和装置
公开(公告)号：WO2011152889A3
公开(公告)日：2012-01-26
申请号：PCT/US2011023015
申请日：2011-01-28
申请人： CIRCULAR LOGIC LLC , UNIV FLORIDA ATLANTIC , LARGE EDWARD W , AMONTE FELIX
发明人： LARGE EDWARD W , AMONTE FELIX
IPC分类号： G10L15/00
CPC分类号： G10L19/00 , G06N3/049 , G10L25/30
摘要： The present invention is directed to systems and methods designed to ascertain the structure of acoustic signals. The approach involves an alternative transform of an acoustic input signal, utilizing a network of nonlinear oscillators in which each oscillator is tuned to a distinct frequency. Each oscillator receives input and interacts with the other oscillators in the network, yielding nonlinear resonances that are used to identify structure in an acoustic input signal. The output of the nonlinear frequency transform can be used as input to a system that will provide further analysis of the signal. According to one embodiment, the nonlinear responses are defined as a network of n expanded canonical oscillators Z i with an input, for each oscillator as a function of an external stimulus. In this way, the response of oscillators to inputs that are not close to its natural frequency are accounted for.
摘要翻译：本发明涉及设计用于确定声信号结构的系统和方法。该方法涉及声输入信号的替代变换，利用非线性振荡器网络，其中每个振荡器被调谐到不同的频率。每个振荡器接收输入并与网络中的其他振荡器交互，产生用于识别声输入信号中的结构的非线性谐振。非线性频率变换的输出可以用作将进一步分析信号的系统的输入。根据一个实施例，对于作为外部刺激的函数的每个振荡器，非线性响应被定义为具有输入的n个扩展规范振荡器Z i的网络。这样就可以解释振荡器对输入的响应不太接近固有频率。

5. 发明申请

WO2011094611A3 LEARNING AND AUDITORY SCENE ANALYSIS IN GRADIENT FREQUENCY NONLINEAR OSCILLATOR NETWORKS 审中-公开
标题翻译：梯度频率非线性振荡网络的学习和听觉场景分析
公开(公告)号：WO2011094611A3
公开(公告)日：2011-12-29
申请号：PCT/US2011023020
申请日：2011-01-28
申请人： CIRCULAR LOGIC LLC , UNIV FLORIDA ATLANTIC , LARGE EDWARD W
发明人： LARGE EDWARD W
CPC分类号： G10L25/30 , G06N3/049
摘要： A method for learning connections between nonlinear oscillators in a neural network comprising the steps of providing a plurality of nonlinear oscillators, with each respective oscillator producing an oscillation distinct from the others in response to an input and detecting an input at an at least first oscillator of the plurality of nonlinear oscillators. Detecting an input at an at least a second oscillator of the plurality of nonlinear oscillators, comparing the oscillation of the at least first oscillator to the oscillation of the at least second oscillator at a point in time, and determining whether there is coherency between the oscillation of the at least first oscillator and the oscillation of the at least second oscillator. Changing at least one of the amplitude and phase of a connection between the at least first oscillator and the at least second least oscillator as a function coherency between the at least first oscillator and the oscillation of the at least second oscillator.
摘要翻译：一种用于学习神经网络中的非线性振荡器之间的连接的方法，该方法包括以下步骤：提供多个非线性振荡器，每个相应的振荡器响应于输入产生与其他振荡器不同的振荡，并检测至少第一振荡器多个非线性振荡器。检测多个非线性振荡器中的至少第二振荡器处的输入，将所述至少第一振荡器的振荡与所述至少第二振荡器在某个时间点的振荡进行比较，以及确定振荡之间是否存在相干性至少第一振荡器的振荡和至少第二振荡器的振荡。将所述至少第一振荡器和所述至少第二最小振荡器之间的连接的振幅和相位中的至少一个改变为所述至少第一振荡器和所述至少第二振荡器的振荡之间的函数相干性。

6. 发明申请

WO2011152888A2 RHYTHM PROCESSING AND FREQUENCY TRACKING IN GRADIENT FREQUENCY NONLINEAR OSCILLATOR NETWORKS 审中-公开
标题翻译：梯度频率非线性振荡器网络中的RHYTHM处理和频率跟踪
公开(公告)号：WO2011152888A2
公开(公告)日：2011-12-08
申请号：PCT/US2011/022993
申请日：2011-01-28
申请人： CIRCULAR LOGIC, LLC , FLORIDA ATLANTIC UNIVERSITY RESEARCH CORPORATION , LARGE, Edward, W.
发明人： LARGE, Edward, W.
CPC分类号： G10L25/30 , G06N3/049
摘要： A method for mimicking the auditory system's response to rhythm of an input signal having a time varying structure comprising the steps of receiving a time varying input signal x(t) to a network of n nonlinear oscillators, each oscillator having a different natural frequency of oscillation and obeying a dynamical equation of the form(the mathematic formula should be inserted here) wherein ω represents the response frequency, r is the amplitude of the oscillator and Φ is the phase of the oscillator. Generating at least one frequency output from said network useful for describing said varying structure.
摘要翻译：一种用于模拟听觉系统对具有时变结构的输入信号的节律的响应的方法，包括以下步骤：向n个非线性振荡器的网络接收时变输入信号x（t），每个振荡器具有不同的固有振荡频率并遵守形式的动力学方程（这里应该插入数学公式），其中？表示响应频率，r是振荡器的振幅，F是振荡器的相位。从所述网络生成用于描述所述变化结构的至少一个频率输出。

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