Guest
Learn how to leverage Mixed-Signal Analyzer capabilities outside of the app itself. Doing so provides a greater level of automation and flexibility than that provided with an app. Apps are the ideal tool for getting started quickly. There is no need to read much documentation or write scripts in order to do simple things like view and analyze the Cadence® simulation data in MATLAB®. But for the ultimate in automation and flexibility, scripting is always required. To support such automation, three capabilities are highlighted. First, learn how to automate saving Cadence simulation to a .mat file using the Outputs section of Maestro. Second, learn how to automate data analysis and report generation from Maestro. Both steps one and two occur without any user interaction via a headless version of MATLAB. Third, and this is where you’ll spend most of your time, learn how to postprocess the Cadence simulation data stored in the .mat files outside of the app. To do so, first break down the data structures used in the .mat files and access the data stored in them using simple MATLAB scripts. Finally, compare the results achieved using raw .mat file access to the results from the Mixed-Signal Analyzer app to ensure they are the same. Check out all the videos in this series: Learn more: - Mixed-Signal Analyzer: - Analyze Clock Buffer Using Mixed-Signal Analyzer: - Optimize Transistor Sizes of Analog Circuit for Best Performance: - Generate VerilogA Model of CTLE Using Custom Function: -------------------------------------------------------------------------------------------------------- Get a free product trial: Learn more about MATLAB: Learn more about Simulink: See what's new in MATLAB and Simulink: © 2023 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
