Test measurement system and signal generation method
The system addresses the inflexibility of existing waveform generation by employing a networked AI system with GANs and federated learning to generate precise waveforms suited to specific environments and channels, enhancing adaptability and accuracy.
JP2026075056APending Publication Date: 2026-05-07TEKTRONIX INC
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Patent Information
- Application Number
- JP2025160290
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2025-08-19
- Filing Date
- 2025-09-26
- Publication Date
- 2026-05-07
AI Technical Summary
Technical Problem
Existing waveform generation products lack flexibility and precision in reproducing signals for specific environments and channel conditions, necessitating software updates and failing to account for unknown channels or environments.
Method used
A test and measurement system utilizing a network of nodes, central servers, and a database, incorporating large language models and generative adversarial networks (GANs) for signal replication and optimization, enabling federated learning and distributed waveform generation.
Benefits of technology
Enables rapid creation of prototypes with accurate waveform generation adaptable to diverse environments and channels, facilitating agnostic waveform transformation and dynamic prototyping through shared learning.
✦ Generated by Eureka AI based on patent content.
Abstract
This replicates signals from a device under test with specific environmental and channel conditions. [Solution] The test measurement system 10 includes a plurality of nodes 12, each having one or more sensors configured to receive signals; one or more generative adversarial network (GAN) models; one or more signal generators configured to generate and transmit signals; and one or more processors 16. The system is configured to execute a program that causes one or more processors to perform the following processes: receive a request for a signal having a signal profile from any of the plurality of nodes 12, send the signal profile and the request to one or more GAN models, receive a signal profile that matches the signal profile, send the matching signal profile to one or more signal generators, and generate and transmit a matching signal.
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