公开(公告)号：US12003261B2

公开(公告)日：2024-06-04

申请号：US17732809

申请日：2022-04-29

Applicant: Analog Devices, Inc.

Inventor： Tao Yu ,  Cristobal Alessandri ,  Frank Yaul ,  Wenjie Lu ,  Shyam Chandrasekhar Nambiar

IPC: H04B1/04 ,  G06N3/04 ,  G06N3/084

CPC classification number: H04B1/0475 ,  G06N3/04 ,  G06N3/084

Abstract: Systems, devices, and methods related to using model architecture search for hardware configuration are provided. A method includes receiving, by a computer-implemented system, information associated with a pool of processing units; receiving, by the computer-implemented system, a data set associated with a data transformation operation; training, based on the data set and the information associated with the pool of processing units, a parameterized model associated with the data transformation operation, where the training includes updating at least one parameter of the parameterized model associated with configuring at least a subset of the processing units in the pool; and outputting, based on the training, one or more configurations for at least the subset of the processing units in the pool.

公开(公告)号：US20250047529A1

公开(公告)日：2025-02-06

申请号：US18735813

申请日：2024-06-06

Applicant: Analog Devices, Inc.

Inventor： Tao YU ,  Cristobal Alessandri ,  Wenjie Lu

IPC: H04L25/02 ,  H04L25/03 ,  H04L25/49 ,  H04L27/36

Abstract: Systems, devices, and methods related to hybrid basis function, neural network-based digital predistortion (DPD) are provided. An example apparatus for a radio frequency (RF) transceiver includes a digital predistortion (DPD) actuator to receive an input signal associated with a nonlinear component of the RF transceiver and output a predistorted signal. The DPD actuator includes a basis-function-based actuator to perform a first DPD operation using a set of basis functions associated with a first nonlinear characteristic of the nonlinear component. The DPD actuator further includes a neural network-based actuator to perform a second DPD operation using a first neural network associated with a second nonlinear characteristic of the nonlinear component. The predistorted signal is based on a first output signal of the basis-function-based actuator and a second output signal of the neural network-based actuator.

公开(公告)号：US12028188B2

公开(公告)日：2024-07-02

申请号：US17732764

申请日：2022-04-29

Applicant: Analog Devices, Inc.

Inventor： Tao Yu ,  Cristobal Alessandri ,  Wenjie Lu

IPC: H04L25/02 ,  H04L25/03 ,  H04L25/49 ,  H04L27/36

CPC classification number: H04L25/0254 ,  H04L25/03165 ,  H04L25/49 ,  H04L27/367

Abstract: Systems, devices, and methods related to hybrid basis function, neural network-based digital predistortion (DPD) are provided. An example apparatus for a radio frequency (RF) transceiver includes a digital predistortion (DPD) actuator to receive an input signal associated with a nonlinear component of the RF transceiver and output a predistorted signal. The DPD actuator includes a basis-function-based actuator to perform a first DPD operation using a set of basis functions associated with a first nonlinear characteristic of the nonlinear component. The DPD actuator further includes a neural network-based actuator to perform a second DPD operation using a first neural network associated with a second nonlinear characteristic of the nonlinear component. The predistorted signal is based on a first output signal of the basis-function-based actuator and a second output signal of the neural network-based actuator.