Neuromorphic processor for wideband signal analysis
First Claim
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1. A system for wideband signal analysis, the system comprising:
- a neuromorphic processor and a non-transitory computer-readable medium having executable instructions encoded thereon such that when executed, the neuromorphic processor performs operations of;
generating delay-embedded mixture signals from a mixture of pulses from a single input;
mapping, with a reservoir computer, the delay-embedded mixture signals to reservoir states of a dynamical reservoir having output layer weights;
tuning the output layer weights based on short-time linear prediction;
following adaptation of the output layer weights, generating a denoised output of the mixture of input signals; and
extracting separated and denoised pulses by filtering the denoised output through a set of adaptable finite impulse response (FIR) filters,wherein an adaptation mechanism limits how close the filters in the set of adaptable FIR filters are to one another.
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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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Citations
21 Claims
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1. A system for wideband signal analysis, the system comprising:
a neuromorphic processor and a non-transitory computer-readable medium having executable instructions encoded thereon such that when executed, the neuromorphic processor performs operations of; generating delay-embedded mixture signals from a mixture of pulses from a single input; mapping, with a reservoir computer, the delay-embedded mixture signals to reservoir states of a dynamical reservoir having output layer weights; tuning the output layer weights based on short-time linear prediction; following adaptation of the output layer weights, generating a denoised output of the mixture of input signals; and extracting separated and denoised pulses by filtering the denoised output through a set of adaptable finite impulse response (FIR) filters, wherein an adaptation mechanism limits how close the filters in the set of adaptable FIR filters are to one another. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A computer program product for wideband signal analysis, the computer program product comprising:
a non-transitory computer-readable medium having executable instructions encoded thereon, such that upon execution of the instructions by one or more processors, the one or more processors perform operations of; generating delay-embedded mixture signals from a mixture of pulses from a single input; mapping, with a reservoir computer, the delay-embedded mixture signals to reservoir states of a dynamical reservoir having output layer weights; tuning the output layer weights based on short-time linear prediction; following adaptation of the output layer weights, generating a denoised output of the mixture of input signals; and extracting separated and denoised pulses by filtering the denoised output through a set of adaptable finite impulse response (FIR) filters, wherein an adaptation mechanism limits how close the filters in the set of adaptable FIR filters are to one another. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A computer implemented method for wideband signal analysis, the method comprising an act of:
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causing one or more processors to execute instructions encoded on a non-transitory computer-readable medium, such that upon execution, the one or more processors perform operations of; generating delay-embedded mixture signals from a mixture of pulses from a single input; mapping, with a reservoir computer, the delay-embedded mixture signals to reservoir states of a dynamical reservoir having output layer weights; tuning the output layer weights based on short-time linear prediction; following adaptation of the output layer weights, generating a denoised output of the mixture of input signals; and extracting separated and denoised pulses by filtering the denoised output through a set of adaptable finite impulse response (FIR) filters, wherein an adaptation mechanism limits how close the filters in the set of adaptable FIR filters are to one another. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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Specification