This project explores various methods of signal smoothing in electronics and science, focusing on tanh smoothing and quadratic smoothing techniques. It provides insights into their applications, mathematical formulations, and practical examples.
- Introduction
- Project Description
- Key Concepts
- Applications
- Prerequisites
- Cloning or Downloading the Repository
- Running the Project
- License
- Contact
Signal smoothing is essential in electronics to reduce noise and irregularities, enhancing signal clarity and enabling accurate data analysis. This project explores two key methods: tanh smoothing and quadratic smoothing, demonstrating their effectiveness and applications.
The project includes detailed explanations and practical examples of tanh smoothing and quadratic smoothing methods. It discusses their mathematical formulations, implementation in signal processing, and comparisons based on real-world applications.
- Hyperbolic Tangent Smoothing: Utilizes the hyperbolic tangent function to achieve smooth transitions in signal processing.
- Quadratic Smoothing: Fits quadratic functions to segments of signals to capture nonlinear variations and smooth out irregularities.
- Educational purposes for learning signal processing techniques.
- Enhancement of data analysis in scientific research and engineering.
- Prototyping and development of systems requiring accurate signal representation.
-MicroCap-12 (32 or 64bit version)
-Solid understanding of signals (mainly polynomials and hyperbolic tan)
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Open your command prompt or Git Bash terminal.
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Navigate to the directory where you want to store the project files:
cd path/to/your/directory
git clone https://github.com/yourusername/Signal-Smoothening.git
If you prefer not to use command line you can download the zip file of the repository.
Navigate to the GitHub repository.
Click on the green "Code" button.
Select "Download ZIP" from the dropdown menu.
Extract the downloaded ZIP file to your desired directory
-Open MicroCap-12 and navigate to open
-Open the project
-Run transient analysis
This project is licensed under the MIT License. You are free to use, modify, and distribute this code at your own discretion.
For questions or feedback, feel free to reach out at [email protected] .