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公开(公告)号：US10295462B1
公开(公告)日：2019-05-21
申请号：US15445782
申请日：2017-02-28
Applicant: HRL Laboratories, LLC
Inventor： Daniel Yap , Yuri Owechko , Richard M. Kremer , Shankar R. Rao
IPC: G01J5/02 , G01N21/39 , G01N21/3563 , G01N21/31 , G01N21/27
Abstract: A sensor system including a spectrometer with a light source having a plurality of selectable wavelengths, a controller for controlling the sensor system, for selecting wavelengths of illumination light produced by the light source, and for controlling the light source to illuminate a spatial location, a photodetector aligned to detect light received from the spatial location, a blind demixer coupled to the photodetector for separating received spectra in the detected light into a set of sample spectra associated with different demixed or partially demixed chemical components, a memory having a plurality of stored reference spectra, a non-blind demixer coupled to the blind demixer and to the memory for non-blind demixing of the sample spectra using the reference spectra, and a classifier coupled to the non-blind demixer for classifying the set of demixed sample spectra into chemical components using the reference spectra.
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公开(公告)号：US20180076795A1
公开(公告)日：2018-03-15
申请号：US15817906
申请日：2017-11-20
Applicant: HRL Laboratories, LLC
Inventor： Peter Petre , Bryan H. Fong , Shankar R. Rao , Charles E. Martin
CPC classification number: H03H21/0025 , G06K9/0057 , G06K9/624 , G06N3/0445 , H03H2021/0034 , H04B1/71632 , H04B1/719
Abstract: Described is a cognitive signal processor for signal denoising and blind source separation. During operation, the cognitive signal processor receives a mixture signal that comprises a plurality of source signals. A denoised reservoir state signal is generated by mapping the mixture signal to a dynamic reservoir to perform signal denoising. At least one separated source signal is identified by adaptively filtering the denoised reservoir state signal.
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公开(公告)号：US09660693B1
公开(公告)日：2017-05-23
申请号：US14328346
申请日：2014-07-10
Applicant: HRL LABORATORIES LLC
Inventor： Kang-Yu Ni , Shankar R. Rao
CPC classification number: H04B1/715 , H04B1/7156 , H04B2001/7152
Abstract: A spatio-temporal signal monitoring system includes a sampler configured to receive a radio frequency signal and obtain first compressive sensing measurements of said received signal at a first resolution level, and a signal detector configured to identify at least one signal of interest based on said first compressive sensing measurements and perform second compressive sensing measurements on said at least one signal of interest at a second resolution level, said second resolution level being higher than said first resolution level. The received signal may be analyzed as an array or image having two or more dimensions, based on frequency and on at least one other parameter, such as angle-of arrival, and may be analyzed at a higher level of resolution at the frequencies and angles corresponding to a signal of interest (SOI). Estimates of the frequency and/or the at least one other parameter may be generated by the system. The system may be used to monitor a wideband RF spectrum and/or track signals, such as frequency-hopping signals.
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公开(公告)号：US11270411B1
公开(公告)日：2022-03-08
申请号：US16369779
申请日：2019-03-29
Applicant: HRL Laboratories, LLC
Inventor： Austin F. Garrido , Shankar R. Rao , Jose Cruz-Albrecht , Timothy J. Derosier
Abstract: A system for real time bilinear interpolation includes a bilinear interpolation module capable of: generating pixel addresses for original image pixels of an original image needed for performing bilinear interpolation of the original image to form a resized image, wherein the generated pixel addresses assume all the original image pixels of the original image are accessible, and performing bilinear interpolation, and a pixel smart memory module capable: of sequentially receiving original image pixel rows of the original image an original image pixel row a time, predicting which original image pixel rows are needed for performing bilinear interpolation, storing only the needed sequentially received original image pixel rows in a memory, decoding the generated pixel addresses to form decoded addresses to access the needed original image pixel rows stored in the memory, and sending the needed original image pixel rows to the bilinear interpolation module for performing bilinear interpolation.
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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
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.
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Patent Agency Ranking
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
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.
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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
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.
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公开(公告)号：US20180225833A1
公开(公告)日：2018-08-09
申请号：US15585032
申请日：2017-05-02
Applicant: HRL Laboratories, LLC
Inventor： Yongqiang Cao , Narayan Srinivasa , Shankar R. Rao
CPC classification number: G06T7/20 , G06K9/32 , G06T2207/20068
Abstract: Described is a system for compensating for ego-motion during video processing. The system generates an initial estimate of camera ego-motion of a moving camera for consecutive image frame pairs of a video of a scene using a projected correlation method, the camera configured to capture the video from a moving platform. An optimal estimation of camera ego-motion is generated using the initial estimate as an input to a valley search method or an alternate line search method. All independent moving objects are detected in the scene using the described hybrid method at superior performance compared to existing methods while saving computational cost.
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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.
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公开(公告)号：US10712425B1
公开(公告)日：2020-07-14
申请号：US16112071
申请日：2018-08-24
Applicant: HRL Laboratories, LLC
Inventor： Shankar R. Rao , Peter Petre , Bryan H. Fong
Abstract: Described is a system for signal denoising using a cognitive signal processor having a time-varying reservoir. The system receives a noisy input signal of a time-series of data points from a mixture of waveform signals. The noisy input signal is linearly mapped into the time-varying reservoir. A high-dimensional state-space representation of the mixture of waveform signals is generated by combining the noisy input signal with a plurality of reservoir states. The system then generates a denoised signal corresponding to the noisy input signal.
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