Title: Simulink Kalman Filter for Respiratory Signal Analysis
Description: Simulink implementation of Kalman filters (standard, extended, unscented) for respiratory signal processing, including noise reduction, state estimation, and [insert any specific applications].
Title: Respiratory-Kalman-Simulink
Description: This repository features:
- Simulink models for Kalman filter variants (KF, EKF, UKF) tailored to respiratory signals.
- Noise reduction and state estimation examples for respiratory analysis.
- Applications: [List specific use-cases if applicable – e.g., sleep apnea detection, respiratory rate monitoring]
Title: Easy-to-Use Kalman Filter Simulink Toolkit for Respiratory Applications
Description: This project provides well-documented Simulink blocks and examples to streamline the use of Kalman filtering for respiratory signal analysis. Get started with noise reduction, state estimation, and more.
Additional Tips:
- Keywords: Include relevant keywords like "respiratory signals", "Kalman filter", "Simulink", "noise reduction", "state estimation", and any specific applications you focus on.
- README: Create a detailed README file explaining the project's purpose, usage instructions, examples, and any dependencies.
- Examples: Provide clear examples of how to use your Simulink blocks to attract potential users.
Example README Structure (Outline)
- Project Overview (Briefly reiterate the description)
- Key Features (Bullet-point list)
- Getting Started (Installation, basic usage)
- Examples (Illustrative scenarios)
- Dependencies
- Contributions (If open to it, how to contribute)
- License
Cite As
Vims (2024). Kalman_Filter_Sinusodial (https://github.com/VimsRocz/Kalman_Filter_Sinusodial), GitHub. Retrieved .
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Version | Published | Release Notes | |
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1.0.0 |
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