Click the blue text above to follow us Author’s Note 🔊Author Introduction: A graduate student from a top university, a researcher and developer in the field of Matlab; 🚅Right inscription: A journey of a thousand miles begins with a single step. ✅Business Scope: Complete code, paper reproduction, program customization, journal writing, research cooperation 🏆Code Acquisition … Read more
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Click the blue text above to follow us 0 Gift to readers 👨💻 Engaging in scientific research involves a deep-seated system of thought, requiring researchers to be logical, meticulous, and earnest. However, it’s not just about hard work; many times leveraging resources is more important than effort. Additionally, having innovative insights and inspirations is crucial. … Read more
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✅ Author Introduction: A research enthusiast and Matlab simulation developer, skilled in data processing, modeling simulations, program design, acquiring complete code, paper reproduction, and scientific simulations. 🍎 Personal Homepage:Matlab Research Studio 🍊 Personal Motto: Seek knowledge through exploration, feel free to message for help. 🔥 Content Introduction This article will explore the design and implementation … Read more
In data modeling, regression analysis is one of the most fundamental yet crucial tools.The Regression Learner App in MATLAB provides a way to perform regression modeling without writing complex code, through an interactive interface. Whether you need to quickly explore models or fine-tune parameters, this application can meet your needs. If you want to efficiently … Read more
1. Definition of Filter A filter is an electrical component used to reduce or eliminate interference by processing the input signal to obtain the desired signal. It effectively filters out frequency signals at specific frequency points or outside of those frequency points, thereby achieving the function of eliminating interference and obtaining a specific frequency signal. … Read more
Kernel Density Estimation (KDE) was first proposed by Rosenblatt and Parzen. Unlike parametric methods that assume a specific distribution and parameters in advance, this method estimates the probability distribution of indicators directly from the given data sample, thus it belongs to non-parametric methods. This method is commonly applied to estimate the probability density of random … Read more