Tag: Monte Carlo
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Monte Carlo Analysis in QucsStudio: Setting Tolerances and Component Parameters
In the previous article, we explained the basics of using the “tol” function. This time, we will dive deeper into the detailed settings and customization of the “tol” function. Specifically, we will explain the adjustment of standard deviation and how to simulate the actual distribution of components. Standard Deviation Settings Based on Actual Component Distribution…
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Parameter Settings for Monte Carlo Simulation in QucsStudio
When utilizing QucsStudio’s simulation capabilities, Monte Carlo analysis is an especially powerful tool. In the previous article, we explained the basics of low-pass filter design. This time, we will focus on the tol function in Monte Carlo analysis, detailing its usage and application range. The reason for focusing on the tol function is that when…
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LPF Design Guide Using QucsStudio
This time, we will explain in detail the design process of a Low Pass Filter (LPF) for Sub-GHz (915MHz) communication using QucsStudio. Step 1: Setting the Target Performance To send radio waves farther, we use an amplifier to amplify the signal. To improve power efficiency during amplification, it is desirable to amplify the signal by…
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Executing Monte Carlo Analysis in QucsStudio
Qucs Studio is an electronic circuit simulation software equipped with multifunctionality to address various challenges faced by designers. Among its features, the “Monte Carlo analysis” function, which enables analysis incorporating uncertainties such as component tolerances and manufacturing variations, stands out as one of Qucs Studio’s notable attractions. This blog introduces the importance of Monte Carlo…