Apps and models for teaching numerical sciences and computer science
This submission contains a manual and a series of MATLAB Apps and Simulink Models for introducing Numerical Sciences and Computer Science in secondary schools.
It includes the following apps and models :
- Data Type Conversion App. App to convert between boolean, decimal, hexadecimal and character types,
- Simulink model to realize logical operations on booleans,
- JPEG Compression App. This App allows you to change the quality factor of JPEG compression and visualize original, compressed and gray-scale image difference between original and compressed image.
- Watermarking is the process of hiding digital information in a carrier signal, here an image. The Watermarking App allows the user to :
- Load an image
- Enter the message to hide
- Select the bit containing the hidden message
- Select the color component containing the hidden message (R, G, B)
- Visualize original image, code image and watermarked image,
- Audio Acquisition App : Interactive acquisition of audio signals,
- Graph Traverse App. This App allows the user to :
- Load a graph (sparse matrix)
- Visualize the graph
- Run a traverse algorithm (DFS or BFS) or find the shortest Path between two nodes
- Visualize the path, possibly step by step
- Simulink models to communicate an encrypted image between two Raspberry Pi,
- Simulink model for obstacle avoidance on LEGO Mindstorms (using State Machines, stateflow).
引用格式
Emilie Delaherche (2024). Apps and models for teaching numerical sciences and computer science (https://www.mathworks.com/matlabcentral/fileexchange/47854-apps-and-models-for-teaching-numerical-sciences-and-computer-science), MATLAB Central File Exchange. 检索时间: .
MATLAB 版本兼容性
平台兼容性
Windows macOS Linux类别
- Test and Measurement > Data Acquisition Toolbox > Digital Input and Output >
- Test and Measurement > Image Acquisition Toolbox > Image Acquisition Toolbox Supported Hardware >
- Image Processing and Computer Vision > Image Acquisition Toolbox > Image Acquisition Toolbox Supported Hardware >
- Robotics and Autonomous Systems > ROS Toolbox > ROS Toolbox Supported Hardware >
标签
致谢
参考作品: Data Acquisition
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