![]() ![]() Press F2 or select Simulate button on the toolbar.ĭeep Dive: Writing Octave Scripts for Post-Analysis The two general methods are: Manual method NOTE: Both methods require users to load the xxxxxx.sch file into the main Qucs-S GUI window before undertaking circuit simulation and output data post-processing. ![]() We will be using the Automatic method below to post-process our simulation results and automatically create our plots. Qucs-S allows this to be done in two ways firstly manually controlled by users and secondly automatically controlled by Qucs-S. Once the xxxxxx.sch and xxxxxx.m files are entered they can be run by Qucs-S to generate circuit simulation output and undertake output processing with Octave. ![]() By using the same name, Qucs-S assumes that script file xxxxxx.m is to be used to control the post-simulation processing of the output data generated by the simulation of file xxxxxx.sch. To use Octave with Qucs-S for output data processing two Qucs-S files are required firstly a Qucs-S schematic file called xxxxxx.sch, and secondly an Octave script file called xxxxxx.m, where name “xxxxxx” must be identical for both files. m file to successfully process Qucs-S simulation output data to be listed before presenting the more complex features of individual Octave numerical analysis and plotting functions, to hopefully help all users understand the background and requirements for writing functioning Octave post-processing. This allows a number of the basic features required for an Octave. ![]() Using GNU Octave – Scientific Programming Language with Qucs-S GUIīefore introducing the structure and function of the Octave xxxxxx.m file, the simulation post-processing results for the knowm_mr_pulse.sch example are introduced and briefly explained. Click on the Qucs app icon on the Launcher Bar.Please complete the exercises in this previous tutorial as we will be using the simulation data files from multiple Xyce transient simulations of the M-MSS model pulse response in this tutorial for extracting and plotting the results. See instructions for installing Octave for your system in the previous detailed tutorial Simulating the Knowm M-MSS Memristor Model Pulse Response with Qucs-S and Xyce. It is available for macOS 10.12 Sierra and Ubuntu 16.04 LTS (Xenial Xerus). Update to the latest release candidate #2 of the Knowm OSS EDA Stack.I have added common references here and expanded on their instructions where it applies to the context of post-processing the Xyce simulation results we are interested in. Many thanks to the Qucs/Qucs-S Development Team for the detailed documentation of the Qucs-S/Octave interface which facilitated the development of the included Octave scripts for this project. Some of the following text is taken directly from the Qucs-S Help - Ch.6.7. In this post I will demonstrate automatic execution of post-simulation data processing scripts provided by Qucs-S along with some additional scripts that I have written to provide extra facilities for handling multi-dimensional simulation results from our Xyce pulse transient analysis for the M-MSS model. The Octave syntax is largely compatible with MathWorks’ MATLAB and provides capability to integrate additional open-source applications that use the standard Matlab. Octave not only adds full numerical analysis and programming capabilities but also makes available all the features provided by the the many optional Octave Tool Boxes available on Octave-Forge and other open-source repositories. With built-in plotting and visualization tools Octave makes it possible to create additional user modules for post-analysis including parameter extraction, advanced numerical computation, custom plotting and data conversion. We will further discuss the capabilities of Qucs-S – combining its functionality with Octave – a powerful open-source mathematics-oriented scripting language. Today I’ll be discussing advanced features of the Knowm Open-Source EDA Stack that include extensions to Qucs-S for post-analysis of the M-MSS ( Mean Meta-Stable Switch Memristor Model ) pulse response simulation results we explored in my last post Simulating the Knowm M-MSS Memristor Model Pulse Response with Qucs-S and Xyce. ![]()
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