将手性液-液萃取和中空纤维膜萃取分离技术结合，建立手性分离数学模型，对药物对映体进行制备性分离。
Drug enantiomers were separated by combining chiral extraction and hollow fiber membrane extraction, and mathematical models were established for chiral separation.
搜索局部极大值，确定阈值并结合图像帧间的相关性分离出目标。
The targets are separated off from searching for local maximum, determining threshold and combining with the correlation of image frames.
研究了实际环境语音信号的特性，结合语音信号的短时平稳性和长时非平稳性，给出了一种时频域盲分离算法。
Investigation characteristic of real world audio, combine stationary for short time-scale and non-stationary for longer time-scales, proposed a time frequency domain blind source separation algorithm.
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