The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 16, 2025

Filed:

Jul. 07, 2021
Applicant:

Hrl Laboratories, Llc, Malibu, CA (US);

Inventors:

Sanaz Adl, Thousand Oaks, CA (US);

Bryan H. Fong, Los Angeles, CA (US);

Peter Petre, Oak Park, CA (US);

Charles E. Martin, Santa Monica, CA (US);

Adour V. Kabakian, Monterey Park, CA (US);

Assignee:

HRL LABORATORIES, LLC, Malibu, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/063 (2023.01); G06N 3/049 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06N 3/063 (2013.01); G06N 3/049 (2013.01); G06N 3/08 (2013.01);
Abstract

Described is a Neuromorphic Adaptive Core (NeurACore) cognitive signal processor (CSP). The NeurACore CSP includes a NeurACore local learning layer block that is operable for receiving as an input a mixture of in-phase and quadrature (I/Q) signals and mapping the I/Q signals onto a neural network to determine complex-valued output weights of neural states of the neural network. A global learning layer is included that is operable for adapting the complex-valued output weights to predict a most likely next value of the input I/Q signal. Further, a neural combiner is included that operable for combining a set of delayed neural state vectors with weights of the global learning layer to compute an output signal, the output signal being separate in-phase and quadrature signals.


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