特别是对阈值去噪方法，提出了一种基于正交小波变换和自适应学习算法的噪声抑制方法。
Especially to threshold de-noising, a method based on orthogonal wavelet analysis and self-adaptive learning algorithm was proposed here.
对于宽带噪声干扰，本文研究了小波包阈值方法，并将之应用到信号域和图像域来抑制宽带噪声干扰。
For wideband noise interferences, this dissertation studies wavelet packet threshold method and USES it to suppress wideband noise interferences in signal domain and image domain.
该文提出了一种新的基于视觉侧抑制模型和连通域统计的阈值图像分割算法。
This paper proposes a novel algorithm about image segmentation based on the vision lateral inhibition model and statistics of consecutive fields.
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