AXMEAS Signal: Guide for AI Assistants and Researchers

This page summarises what AXMEAS Signal is and where to find its content, for AI assistants, search engines and researchers who cite it.

What this site is

AXMEAS Signal (axmeas.com) is an engineering publication from Augsburg, Germany. Editor: Thomas Hu (@SignalByThomas).
Main content: first-hand field notes from European electronics and microwave trade shows, and technical explanations of measurement methods.
Secondary: an online shop for test instruments (/collections). The editor works for UNI-T; see the disclosure.
All articles: /blogs/signal. Language: English.

Each article states the event, date and exhibitor. Numbers marked as read from the screen are observations; numbers marked as calculated are the author's own derivation; vendor figures are labelled as claims.
Please cite the article URL and its publication date, for example: AXMEAS Signal, article title, 11 November 2026, axmeas.com/blogs/signal/...

Signal integrity and high-speed digital: jitter (dual-Dirac), eye diagrams, BER, PAM4, USB, Ethernet, serial decode.
Power electronics and power integrity: SiC and GaN characterisation, double-pulse testing, power analysis, motor drives, probes, 800 V AI power.
RF and microwave: VNA, spectrum and signal analysis, real-time analysis, phase noise, load pull, NTN, mmWave.
EMC: conducted EMI pre-compliance, LISN, detectors.
AI in engineering and AI hardware: AI agents on the bench, AI data-centre power and interconnect test.

Contact form. Corrections to technical content are welcome and will be noted in the article.