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Application Notes for R&S®EMC32

Learn how to configure Rohde & Schwarz products to fit your application.

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R&S®EMC32 Overview
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Testing of image disturbance on TV with R&S®AdVISE

This application note shows how to configure the R&S®AdVISE visual inspection software to automate the immunity testing in line with EN 55020 and CISPR 35 on TV sets and monitors.

30-Jul-2020 | AN-No. 1S007

EMC32-S: Transmission of Disturbance Signal Parameters to dAV Camera Systems

This application note explains step by step all necessary settings for transmitting parameters of the disturbance signal from an EMS test to a dAV Camera System via serial port or LAN interface. The dAV Camera System overlays these parameters onto the camera signal.

10-Dec-2019

Dual Receiver Measurement

This application note shows all necessary settings for performing Dual Receiver Measurement using the R&S®EMC32-K27 option via R&S® EMC32 Measurement Software.

28-Sep-2017 | AN-No. 1SP20

Shielding Effectiveness Measurement

This application note shows all necessary settings for measuring shielding effectiveness using the R&S®EMC32-K48 option via R&S®EMC32 Measurement Software.

01-Dec-2015 | AN-No. 1SP19

R&S®EMC32 EUT Monitoring with R&S®Digital Oscilloscopes

This application note describes how to use the mask and limit test features of the R&S®RTO, R&S®RTE and R&S®RTM Digital Oscilloscopes for EUT monitoring of signal forms, jitter etc. with the R&S®EMC32 Measurement Software. The mask test function allows autonomous characterization of digital signal integrity during EMS tests. R&S®EMC32 software records violations of userdefined limits or mask templates and evaluates the immunity threshold at frequencies of critical electromagnetic susceptibility.

20-Apr-2015 | AN-No. 1MA242

Usage of Data Reduction in R&S®EMC32-K10 EMI Auto Test Templates

The ‘Data Reduction’ sequence step is an essential part of an EMI Auto Test since it evaluates the relevant frequencies at which the final measurements are to be done. The intention of this application note is to make the data reduction data flow more transparent (contents of input and output tables) and how the parameters (location and relations) influence the evaluation algorithm.

16-Nov-2011 | AN-No. 1SP02

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