DETERMINING PERFORMANCE METRICS FOR A DEVICE UNDER TEST USING NEARFIELD MEASUREMENT RESULTS

Patent №

US 11,747,383

Granted

2023-09-05

Filed 2022

Owner

ADVANTEST CORPORATION

Lab

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17831200

Embodiments of the present invention provide systems and methods for performing tests on a device under test (DUT) based on training data derived from a set of training DUTs using nearfield measurement data. Nearfield measurement data can be mapped to performance metrics that approximate performance metrics derived from the far-field measurement data. Nearfield measurements can then be performed on a DUT to generate second nearfield measurement data, and performance metrics of the DUT are generated using the second nearfield measurement data and the mapped performance metrics derived from the training DUTs.

Machine learningAI hardwareG01R 29/0892G01R 29/105H04B 5/73

AI classification

Machine learning0.99
AI hardware0.74
Natural language0.03
Knowledge representation0.02
Evolutionary computation0.00
Planning0.00
Vision0.00
Speech0.00

Ownership

ADVANTEST CORPORATION

assignment · 635410921

Assignors

MOREIRA, JOSÉ

On an employer assignment, the assignors are typically the inventors.

From the same owner

© 2026 NYSGPT2525 LLC