A complimentary face-to-face technical RF seminar focusing on fundamental topics, new technologies, measurement tips, applications, and industry trends.
Take the opportunity to learn and refresh your knowledge on RF measurement fundamentals, experience live demos, and discuss your test challenges with Keysight’s technical experts.
Start time |
Session |
9:00 |
Welcome and gathering |
9:30 |
Introduction – Oren Hagai, CEO, Interlligent and David Gabay, District Manager, Keysight |
9:50 |
Signal generation and modulation basics – Roey Revah, Solution engineer |
10:50 |
Break |
11:00 |
Spectrum analysis fundamentals – Lior Peretz, Solution engineer |
12:00 |
Break |
12:15 |
Unveiling python’s impact on RF labs (AI inside…) - Nir Tal, Multidisciplinary wireless, PHY, system expert and Dan Wolberg, RF system and PHY architect |
13:45 |
Lunch |
14:45 |
Finishing and networking |
Co-Sponsor
Signal Generation and Modulation Basics
We will delve into the fundamentals of signal generation and modulation, emphasizing the critical need for creating signals in various applications. You will learn the basics of analog and vector signal generation, illustrated through block diagrams of CW, analog and vector signal generators. The differences between ARB (Arbitrary Waveform Generator) and real-time generation will be discussed, along with practical insights on using waveform files. Additionally, we will explore the error vector concept, which is essential for understanding signal quality. We will conclude with the signal generation product family and a demonstration to reinforce the concepts learned.
Spectrum Analysis Fundamentals
We will provide a comprehensive overview of spectrum analysis, starting with an explanation of what spectrum analysis is and the various measurements it offers. We will compare swept spectrum analyzers with FFT (Fast Fourier Transform) analyzers, discussing their respective advantages and applications. The theory of operation will be covered to give a deeper understanding of how these analyzers work. Key specifications that define the performance of spectrum analyzers will be highlighted, along with an exploration of modern signal analyzer designs and their capabilities. We will conclude with the spectrum analyzer product family and a practical demonstration to illustrate the concepts discussed.
Unveiling Python’s Impact on RF Labs (AI inside…)
Python has been a growing force in the programming world. It’s easy to use syntax, open source libraries, and strong community enable lab automation combined with powerful analysis. This lecture will review why Python became so widespread, why lab automation is a critical efficiency booster, and why Python is the perfect companion for this task. Additionally, we'll explore how AI-powered coding assistants have revolutionized Python development by helping scientists and engineers write code faster, debug more efficiently, and implement complex algorithms with less effort.
