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    Very low frequency signals for underwater communications
    1.
    发明授权
    Very low frequency signals for underwater communications 有权

    公开(公告)号：US12101130B2

    公开(公告)日：2024-09-24

    申请号：US17653800

    申请日：2022-03-07

    Applicant: The Boeing Company ,  HRL Laboratories, LLC

    Inventor： Peter Wittenberg ,  Peter Petre

    IPC: H04B13/02 ,  H04B1/04 ,  H04B1/10

    CPC classification number: H04B13/02 ,  H04B1/0475 ,  H04B1/10

    Abstract: A method, apparatus, system, and computer program product for processing low frequency signals. A communications system comprising a low frequency receiver, a denoiser, and a signal extractor. The low frequency receiver receives low frequency signals in which a communications signal is expected. The denoiser is in communication with the low frequency receiver. The denoiser denoises the low frequency signals received from the low frequency receiver. The denoising results in a generation of denoised signals. The signal extractor in communication with the denoiser. The signal extractor extracts the communications signal from the denoised signal.

    Cognitive signal processor
    2.
    发明授权
    Cognitive signal processor 有权

    公开(公告)号：US11037057B1

    公开(公告)日：2021-06-15

    申请号：US15910821

    申请日：2018-03-02

    Applicant: HRL Laboratories, LLC

    Inventor： Gabriel L. Virbila ,  Peter Petre ,  Bryan H. Fong ,  Shankar R. Rao ,  Daniel S. Matic

    IPC: H04B1/719 ,  G06N3/08 ,  G06N5/02

    Abstract: Described is a cognitive signal processor that is implemented in a field programmable gate array (FPGA). During operation, the FGPA receives a continuous noisy signal. The continuous noisy signal is a time-series of data points from a mixture signal of waveforms having both noise and a desired waveform signal. The continuous noisy signal is linearly mapped to reservoir states of a dynamical reservoir. A high-dimensional state-space representation of the continuous noisy signal is generated by digitally combining the continuous noisy signal with the reservoir states. Notably, the continuous noisy signal is approximated over a time interval based on a linear basis function. One or more delay-embedded state signals are then generated based on the reservoir states. The continuous noisy signal is then denoised by removing the noise from the desired waveform signal, resulting in a denoised waveform signal.

    System for parallelized cognitive signal denoising
    3.
    发明授权
    System for parallelized cognitive signal denoising 有权

    公开(公告)号：US10404299B1

    公开(公告)日：2019-09-03

    申请号：US15910922

    申请日：2018-03-02

    Applicant: HRL Laboratories, LLC

    Inventor： Peter Petre ,  Bryan H. Fong ,  Shankar R. Rao

    IPC: H04B1/10 ,  G06N3/04

    Abstract: Described is a cognitive signal processor (CSP) for signal denoising. In operation, the CSP receives a noisy signal as a time-series of data points from a mixture of both noise and one or more desired waveform signals. The noisy signal is linearly mapped to reservoir states of a dynamical reservoir. A high-dimensional state-space representation is then generated of the noisy signal by combining the noisy signal with the reservoir states. A delay-embedded state signal is generated from the reservoir states. The reservoir states are denoised by removing noise from each reservoir state signal, resulting in a real-time denoised spectrogram of the noisy signal. A denoised waveform signal is generated combining the denoised reservoir states. Additionally, the signal denoising process is implemented in software or digital hardware by converting the state-space representation of the dynamical reservoir to a system of delay difference equations and then applying a linear basis approximation.

    Neuromorphic processor for wideband signal analysis
    4.
    发明授权
    Neuromorphic processor for wideband signal analysis 有权

    公开(公告)号：US10162378B1

    公开(公告)日：2018-12-25

    申请号：US15631307

    申请日：2017-06-23

    Applicant: HRL Laboratories, LLC

    Inventor： Shankar R. Rao ,  Peter Petre ,  Charles E. Martin

    IPC: H04B1/00 ,  G06F1/08

    Abstract: Described is a neuromorphic processor for signal denoising and separation. The neuromorphic processor generates delay-embedded mixture signals from an input mixture of pulses. Using a reservoir computer, the delay-embedded mixture signals are mapped to reservoir states of a dynamical reservoir having output layer weights. The output layer weights are adapted based on short-time linear prediction, and a denoised output of the mixture of input signals us generated. The denoised output is filtered through a set of adaptable finite impulse response (FIR) filters to extract a set of separated narrowband pulses.

    SIGNAL REMOVAL TO EXAMINE A SPECTRUM OF ANOTHER SIGNAL
    5.
    发明申请
    SIGNAL REMOVAL TO EXAMINE A SPECTRUM OF ANOTHER SIGNAL 审中-公开

    公开(公告)号：US20180089558A1

    公开(公告)日：2018-03-29

    申请号：US15276188

    申请日：2016-09-26

    Applicant: The Boeing Company ,  HRL Laboratories, LLC

    Inventor： Peter S. Wittenberg ,  Peter Petre ,  Shankar R. Rao

    IPC: G06N3/063 ,  H03F3/19 ,  H03H17/02 ,  G06F17/16

    Abstract: A method for removing an extracted RF signal to examine a spectrum of at least one other RF signal includes receiving a mixture signal by an ADC. The mixture signal includes a plurality of separate signals from different signal sources. The mixture signal is digitized by the ADC. A first digitized signal and a second digitized signal are generated that are the same. The first digitized signal is delayed a predetermined time delay and the second digitized signal is processed in a neuromorphic signal processor to extract an extracted signal. The predetermined time delay corresponds to a delay embedding in the neuromorphic signal processor. A phase delay and amplitude of the extracted signal is adjusted based on a phase delay and amplitude of the first digitized signal. An adjusted extracted signal is cancelled from the first digitized signal to provide an input examination signal for examination.

    Cognitive blind source separator
    7.
    发明授权
    Cognitive blind source separator 有权

    公开(公告)号：US09749007B1

    公开(公告)日：2017-08-29

    申请号：US15073626

    申请日：2016-03-17

    Applicant: HRL Laboratories, LLC

    Inventor： Charles E Martin ,  Shankar R. Rao ,  Peter Petre

    IPC: H04B1/00 ,  H04B1/719 ,  H04B1/7163

    CPC classification number: H04B1/719 ,  G06K9/0057 ,  G06K9/624 ,  G06N3/0445 ,  H04B1/71632

    Abstract: Described is a cognitive blind source separator (CBSS). The CBSS includes a delay embedding module that receives a mixture signal (the mixture signal being a time-series of data points from one or more mixtures of source signals) and time-lags the signal to generate a delay embedded mixture signal. The delay embedded mixture signal is then linearly mapped into a reservoir to create a high-dimensional state-space representation of the mixture signal. The state-space representations are then linearly mapped to one or more output nodes in an output layer to generate pre-filtered signals. The pre-filtered signals are passed through a bank of adaptable finite impulse response (FIR) filters to generate separate source signals that collectively formed the mixture signal.

    Method and apparatus for detecting amplitudes and/or phases of recognizable signals in a frequency band or spectrum of interest
    8.
    发明授权
    Method and apparatus for detecting amplitudes and/or phases of recognizable signals in a frequency band or spectrum of interest 有权
    用于检测感兴趣的频带或频谱中的可识别信号的幅度和/或相位的方法和装置

    公开(公告)号：US08958764B1

    公开(公告)日：2015-02-17

    申请号：US13663308

    申请日：2012-10-29

    Applicant: HRL Laboratories, LLC

    Inventor： Zhiwei Xu ,  Donald A. Hitko ,  Peter Petre

    IPC: H04B1/26 ,  H04B1/16

    CPC classification number: H04L27/22

    Abstract: A method of and apparatus for detecting signal features including amplitude, phase and timing of recognizable input signals in a frequency band or spectrum of interest. One or more super-regenerative oscillators are provided, each having a center frequency and each detecting signal features of recognizable input signals in the frequency band or spectrum of interest during multiple, successive time slots. The center frequency of each of the one or more super-regenerative oscillators is varied between time slots in a selected sequence, preferably according to a Segmentlet algorithm. The one or more super-regenerative oscillators extract the signal features of each the recognizable input signals in different time slots and/or in different super-regenerative oscillator and with a different time-slot associated center frequency associated with the one or more super-regenerative oscillators, thereby providing a time-frequency-amplitude map of the frequency band or spectrum of interest.

    Abstract translation: 一种用于检测包括感兴趣的频带或频谱中的可识别输入信号的幅度，相位和定时的信号特征的方法和装置。 提供一个或多个超再生振荡器，每个超级再生振荡器在多个连续时隙中具有中心频率和每个检测信号特征在感兴趣的频带或频谱中的可识别输入信号。 一个或多个超再生振荡器中的每一个的中心频率在所选序列中的时隙之间是优选的，根据Segmentlet算法。 一个或多个超再生振荡器在不同的时隙和/或不同的超再生振荡器中提取每个可识别的输入信号的信号特征，以及与一个或多个超再生振荡器相关联的不同的时隙相关联的中心频率 振荡器，从而提供感兴趣的频带或频谱的时间 - 频率幅度图。

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