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公开(公告)号：US20220368571A1
公开(公告)日：2022-11-17
申请号：US17732764
申请日：2022-04-29
Applicant: Analog Devices, Inc.
Inventor： Tao YU , Cristobal ALESSANDRI , Wenjie LU
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.
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2.发明公开公开(公告)号：US20230280810A1
公开(公告)日：2023-09-07
申请号：US18103155
申请日：2023-01-30
Applicant: Analog Devices, Inc.
Inventor： Wenjie LU , Cecelia China CHU , Michael Christian HOLLOWAY , Jindong ZHANG
IPC: G06F1/28
CPC classification number: G06F1/28
Abstract: Technologies are provided for identification of closed-loop gain response and compensation of power supply devices. In an aspect, a computing device can receive data indicative of a transient output voltage of a power supply device. The computing device also can determine frequency-domain loop response of a control loop of the power supply device by applying a machine-learned model to the data indicative of the transient output voltage. In addition, or in other aspects, the computing device also can adjust one or multiple compensation component(s) of the power supply device in order to achieve a satisfactory performance during operation of the power supply device.
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公开(公告)号：US20220376659A1
公开(公告)日：2022-11-24
申请号：US17732715
申请日：2022-04-29
Applicant: Analog Devices, Inc.
Inventor： Tao YU , Cristobal ALESSANDRI , Frank YAUL , Wenjie LU , Shyam Chandrasekhar NAMBIAR
Abstract: Systems, devices, and methods related to using model architecture search for hardware configuration are provided. An example apparatus includes an input node to receive an input signal; a pool of processing units to perform one or more arithmetic operations and one or more signal selection operations, wherein each of the processing units in the pool is associated with at least one parameterized model corresponding to a data transformation operation; and a control block to configure, based on a first parameterized model, a first subset of the processing units in the pool, where the first subset of the processing units processes the input signal to generate a first signal.
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公开(公告)号：US20220376719A1
公开(公告)日：2022-11-24
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
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.
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