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MCTC4BMI (Multimodal Compressed Sensing and Tensor Decomposition for Brain-Machine Interfaces) is a MATLAB toolbox designed to process and analyze EEG data. It applies compressed sensing and tensor decomposition techniques to improve brain-machine interface (BMI) performance.
Features
- Implements compressed sensing techniques to reduce data dimensionality
- Uses tensor decomposition for analyzing multi-channel EEG data
- Designed specifically for real-time brain-machine interface applications
- Supports multimodal data integration for more robust predictions
- Offers various preprocessing tools for EEG signals
- Integrates seamlessly with existing BMI frameworks
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