公开(公告)号：US20240160919A1

公开(公告)日：2024-05-16

申请号：US18380725

申请日：2023-10-17

Applicant: MEDIATEK INC.

Inventor： Po-Hsiang Yu ,  Hao Chen ,  Peng-Wen Chen ,  Cheng-Yu Yang

IPC: G06N3/08 ,  G06N3/0464

CPC classification number: G06N3/08 ,  G06N3/0464

Abstract: In aspects of the disclosure, a method, a system, and a computer-readable medium are provided. The method of building a kernel reparameterization for replacing a convolution-wise operation kernel in training of a neural network comprises selecting one or more blocks from tensor blocks and operations; and connecting the selected one or more blocks with the selected operations to build the kernel reparameterization. The kernel reparameterization has a dimension same as that of the convolution-wise operation kernel.

公开(公告)号：US20240160928A1

公开(公告)日：2024-05-16

申请号：US18506145

申请日：2023-11-10

Applicant: MEDIATEK INC.

Inventor： Po-Hsiang Yu ,  Hao Chen ,  Cheng-Yu Yang ,  Peng-Wen Chen

IPC: G06N3/08 ,  G06N3/0464

CPC classification number: G06N3/08 ,  G06N3/0464

Abstract: A method for enhancing kernel reparameterization of a non-linear machine learning model includes providing a predefined machine learning model, expanding a kernel of the predefined machine learning model with a non-linear network for convolution operation of the predefined machine learning model to generate the non-linear machine learning model, training the non-linear machine learning model, reparameterizing the non-linear network back to a kernel for convolution operation of the non-linear machine learning model to generate a reparameterized machine learning model, and deploying the reparameterized machine learning model to an edge device.

公开(公告)号：US12228657B2

公开(公告)日：2025-02-18

申请号：US17851924

申请日：2022-06-28

Applicant: MediaTek Inc.

Inventor： Po-Yu Chen ,  Hao Chen ,  Tsung-Yu Chiou

IPC: G01S19/25 ,  H04B7/185 ,  H04W4/029

Abstract: A wireless device includes a satellite receiver to receive data from multiple satellites. The wireless device also includes processing circuitry and memory. The memory stores one or more neural network models. The processing circuitry is operative to identify a neural network model that has been trained to adapt to a region in which the wireless device operates, classify satellite raw measurements from each satellite at a given time into a corresponding quality level using the neural network model, and identify satellite raw measurements with a quality level higher than a threshold. The location of the wireless device is calculated using the identified satellite raw measurements.

公开(公告)号：US20240161013A1

公开(公告)日：2024-05-16

申请号：US18501039

申请日：2023-11-03

Applicant: MEDIATEK INC.

Inventor： Cheng-Yu Yang ,  Hao Chen ,  Po-Hsiang Yu ,  Peng-Wen Chen

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: A reparameterization method for initializing a machine learning model includes initializing a prefix layer of a first low dimensional layer in the machine learning model and a postfix layer of the first low dimensional layer, inverting the prefix layer to generate an inverse prefix layer of the first low dimensional layer, inverting the postfix layer to generate an inverse postfix layer of the first low dimensional layer, combining the inverse prefix layer, the first low dimensional layer and the inverse postfix layer to form a high dimensional layer, generating parallel operation layers from the high dimensional layer, and assigning initial weights to the parallel operation layers.

公开(公告)号：US20230057518A1

公开(公告)日：2023-02-23

申请号：US17851924

申请日：2022-06-28

Applicant: MediaTek Inc.

Inventor： Po-Yu Chen ,  Hao Chen ,  Tsung-Yu Chiou

IPC: G01S19/25 ,  H04B7/185 ,  H04W4/029

Abstract: A wireless device includes a satellite receiver to receive data from multiple satellites. The wireless device also includes processing circuitry and memory. The memory stores one or more neural network models. The processing circuitry is operative to identify a neural network model that has been trained to adapt to a region in which the wireless device operates, classify satellite raw measurements from each satellite at a given time into a corresponding quality level using the neural network model, and identify satellites raw measurements with a quality level higher than a threshold. The location of the wireless device is calculated using the identified satellite raw measurements.

公开(公告)号：US20230006611A1

公开(公告)日：2023-01-05

申请号：US17857132

申请日：2022-07-04

Applicant: MediaTek Inc.

Inventor： Po-Yu Chen ,  Hao Chen ,  Yi-Min Tsai ,  Hao Yun Chen ,  Hsien-Kai Kuo ,  Hantao Huang ,  Hsin-Hung Chen ,  Yu Hsien Chang ,  Yu-Ming Lai ,  Lin Sen Wang ,  Chi-Tsan Chen ,  Sheng-Hong Yan

IPC: H03F1/32 ,  H03F1/02 ,  G06K9/62 ,  G06N3/063

Abstract: A compensator compensates for the distortions of a power amplifier circuit. A power amplifier neural network (PAN) is trained to model the power amplifier circuit using pre-determined input and output signal pairs that characterize the power amplifier circuit. Then a compensator is trained to pre-distort a signal received by the PAN. The compensator uses a neural network trained to optimize a loss between a compensator input and a PAN output, and the loss is calculated according to a multi-objective loss function that includes one or more time-domain loss function and one or more frequency-domain loss functions. The trained compensator performs signal compensation to thereby output a pre-distorted signal to the power amplifier circuit.