Luoqing Zhou

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Motor brain-machine interface (BMI) has great potentials in neural motor prostheses and has received increasing attention during the past decades in the neural engineering field. It requires an approach to decode neural activities that represents desired movements. Much of the progress in decoding algorithms has been driven by the availability of neural(More)
In this paper, we propose a simple but efficient method to identify the correct repeat unit in a yarn-dyed fabric weave pattern and color pattern automatically, especially when they contain error pattern recognitions. With only the color pattern of the fabric to be detected, our method can solve three problems simultaneously, even though there are errors in(More)
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