奶酪大盗保姆级教程
奶酪大盗桌游主持人配音，按 4–8 人局选择，可直接播放与下载。
Solving nRF5340 BLE Failure After Erase
An in-depth analysis of why BLE fails on the nRF5340 DK after a "Recover" or "Erase All" operation, along with engineering-grade solutions using VS Code and the command line.
EMG Gesture Recognition: Generalization & Calibration
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Research Projects
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Signal Processing
Word count in article:
392
Reading time ≈
1 mins.
Discussing the severe cross-subject distribution shift in EMG signals and proposing a solution based on Universal Models and Few-Shot Rapid Calibration.
EMG Gesture Recognition: Robustness Research
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Research Projects
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Signal Processing
Word count in article:
370
Reading time ≈
1 mins.
Proposing Causal Filtering and Spatial Rotation Augmentation strategies to address non-stationarity caused by electrode shift, significantly improving Cross-Day accuracy.
PPG Signal Analysis: Dual-Stream Architecture
The final V4.0 architecture solving the classification-localization conflict by completely decoupling the feature streams.
EMG Gesture Recognition: Intra-Baseline
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Research Projects
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Signal Processing
Word count in article:
314
Reading time ≈
1 mins.
Establishing a TCN-based EMG gesture recognition baseline to verify signal separability and model capacity under ideal conditions.
PPG Signal Analysis: Time-Frequency & Attention
How introducing Continuous Wavelet Transform (CWT) and SE-Attention bridged the gap between time-domain limitations and robust noise segmentation.
Solving Low SNR in ENG Signals
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Research Projects
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Neural Engineering
Word count in article:
680
Reading time ≈
2 mins.
Exploring a physics-driven Electroneurography (ENG) simulator using Gaussian Difference functions and Colored Noise models to address low SNR and labeling challenges in real neural data.
PPG Signal Analysis: The Dilemma of Task Conflict
Exploring the architectural conflict between classification (translation invariance) and localization (translation equivariance) in PPG signal analysis.
PPG Signal Generation: From MATLAB to Python
A detailed account of migrating core PPG signal generation logic from MATLAB to Python to overcome I/O bottlenecks and integrate with deep learning workflows.